U.S. Patent 10783900B2, 22 September 2020. $119.00. During the validation phase of the frequency domain analysis, the 1D-CNN-LSTM model used a total of 24 sets of data, successfully recognizing 15 non-arcing instances and nine arcing instances. The pool size of MaxPooling and the kernel size were set to 3. Out of these, 56 cases where there was no arcing and 10 cases where there was arcing were found. Prasad, A.; Edward, J.B.; Ravi, K. A review on fault classification methodologies in power transmission systems: Part-II. b. make measurements or collect other evidence, 2. Analyse the reading, 3. Schuster, M.; Paliwal, K.K. ; Panda, S.K. 0000009730 00000 n
Abstract. WebFault finding techniques: Introduction This course is for engineers and technicians who require a better understanding of the methodologies they can apply to fault-finding, regardless of system type. What is Input Output fault finding technique? In this case, the data was translated into a matrix format to meet the requirements of the MATLAB program, which was used in the study. One trick is to apply an external adjustable dc voltage to the SMPS output ensuring first that the SMPS is not connected to the mains. Lala, H.; Karmakar, S. Detection and Experimental Validation of High Impedance Arc Fault in Distribution System Using Empirical Mode Decomposition. 
Input-output analysis is one of a set of related methods which show how the parts of a system are affected by a change in one part of that system. What is injection and sampling techniques? 25242528. When the dc voltage increases gradually, the feedback circuit should work as the dc nears the nominal output voltage. The hybrid model 1D-CNN-LSTM was the preferred model for fault detection in switchgear because of its superior performance in both time and frequency domains, allowing for analysis of the generated sound wave during an arcing event. 0000005411 00000 n
; visualization, S.P.K., C.T.Y., S.K.T., Y.A.L.B. ; Ghosh, R.; Cirioni, L.; Galvagno, G.; Mastroeni, S. Partial Discharge Monitoring of Medium Voltage Switchgears: Self-Condition Assessment Using an Embedded Bushing Sensor. In Proceedings of the 2017 2nd International Conference on Communication and Information Systems, Wuhan, China, 79 November 2017. Faulty wiring shows some The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. However, you may visit "Cookie Settings" to provide a controlled consent. HR and Legal Advice and Guidance Packages, Health safety and environment management systems, Health safety and environmental management consultancy, Interim Health and Safety Staff and Support, EU Work and Travel Videos - Check Before You Go, Make UK EU checklist & government guidance, Mutual recognition of professional qualifications, The Deming Cycle, DMAIC and 8D approaches, Manuals, flow charts, algorithms and fish bone diagrams, The 6 point technique and 5 whys approach, Half split and Unit substitution approach. 2023; 13(7):4617. This cookie is set by GDPR Cookie Consent plugin. The models parameters, such as the number of convolutional layers, kernel size, MaxPooling, and FC layer were fine-tuned for maximum accuracy and minimum loss. Think before you speak. All the evidence collected must be relevant to the problem in hand. Who was responsible for determining guilt in a trial by ordeal? This cookie is set by GDPR Cookie Consent plugin. A new experiential learning electromagnetism-like mechanism for numerical optimization. This gives an estimated accuracy of 100% and a 0% error rate. apar, A.; Arsoy, A.B. We've encountered a problem, please try again. Switchgear Condition Assessment and Lifecycle Management: Standards, Failure Statistics, Condition Assessment, Partial Discharge Analysis, Maintenance Approaches, and Future Trends. When these two models were put together, the network was able to pick up both local and global features of the input data. Bityukov, O.V. If the reading there is ok then test from the start to the next point. For Yin, K.; Fang, J.; Mo, W.; Wang, H.; Zhang, T.; Yang, M. Robot Real-time Inspection Method for Compliance Inspection of Switchgear Circuit Breaker Trolley. Additionally, the pre-processing and flowchart were implemented using the Google Colab environment. The LSTM model achieved similar results to the 1D-CNN model, with 66 data sets and an identical accuracy and error rate. The LSTM neural network was then employed to classify the arcing and non-arcing conditions after training. The two amplifiers are a dual device, typically a 5532 however this is Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. This cookie is set by GDPR Cookie Consent plugin. WebThe purpose of sensor fault diagnosis is to detect faulty data in the sensor and recover or isolate the faulty sensors so that the sensor can finally provide correct data to the user. Albawi, S.; Mohammed, T.A. connect the mains supply to the monitor input). The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". [. This method is and C.P.C. and S.K.T. ; Tiong, S.K. Fault injection is a testing technique which aids in understanding how a (virtual or real) system behaves when stressed in unusual ways. What is the number of completed units of an item? WebAssignment 2 Electronic Fault Finding Assessment 2 Pass 3 Prepare a written strategy for a given analogue electronic system and identify the fault-finding and signal tracing techniques to be applied. The cookie is used to store the user consent for the cookies in the category "Performance". ; Pardeshi, D.B. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". What does it mean that the Bible was divinely inspired? , Determination and Removal of the Cause. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". the PLC control units is in the range of the rating. 0000000016 00000 n
Andrusca, M.; Adam, M.; Dragomir, A.; Lunca, E.; Seeram, R.; Postolache, O. Input-output analysis (I-O) is a form of macroeconomic analysis based on the interdependencies between different economic sectors or industries. ; Koay, Y.Y. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. Click here to review the details. Input-output analysis (I-O) is a form of macroeconomic analysis based on the interdependencies between different economic sectors or industries. Split the signal path from the radiographic control panel switch to the timer relay in half, inject signal using the hand switch into the input of the circuit (Circuit 1), and check output at the half split point (Circuit 4). This process involves transforming the sound signal into a spectrogram, which is essentially a 2D matrix of intensities that represent the frequency spectrum of the sound signal. This is crucial in ensuring the reliability and safety of power systems. WebThis made it easier to find both arcing and non-arcing faults. Test the system, i.e. Free shipping. The architecture used was a basic 1D-CNN with convolutional layers, filters, MaxPooling, a fully connected layer, and a classification layer. A. F. Discovering a failure in hardware or software. Analyse the reading, 3. most exciting work published in the various research areas of the journal. Alsumaidaee, Y.A.M.
The same testing, validation, and training datasets were used for all methods, totaling 306 samples in the training phase. 0000006219 00000 n
Test the system, i.e. ; software, Y.A.M.A. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. This website uses cookies to improve your experience while you navigate through the website. Degegates will have developed a good working knowledge of basic fault finding The cookie is used to store the user consent for the cookies in the category "Analytics". The motivation behind this research is to enhance the safety and reliability of power systems by accurately identifying arcing faults, which are a common cause of switchgear failure. You seem to have javascript disabled. A quick location of faults is therefore reducing the costs and gives so the professionalist a big advantage in competition. Or switch off the breaker and lock it if you can. Free shipping. and C.H.T. Zhao, J.; Mao, X.; Chen, L. Speech emotion recognition using deep 1D & 2D CNN LSTM networks. ; Vinyals, O.; Sak, H. Convolutional, Long Short-Term Memory, Fully Connected Deep Neural Networks. Deep learning for time series classification: A review. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Collect the Evidence. In the 1D-CNN-LSTM model training phase, During the validation phase of the time domain analysis, 66 data sets were used for the 1D-CNN-LSTM model. The 1D-CNN-LSTM model proved to be the most effective model for differentiating between arcing and non-arcing situations in the training, validation, and testing stages. What are the five steps to fault finding? 0000036512 00000 n
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Additionally, batch normalization and dropout were used to normalize inputs and prevent overfitting. Conceptualization, S.P.K. All the evidence collected must be relevant to the problem in hand. Analyse the reading, 3. ; funding acquisition, S.P.K. The training phase comprised the largest proportion of the dataset (70%), while the remaining 30% of the dataset was split equally for each of the validation (15%) and testing (15%) phases. All the evidence collected must be relevant to the problem at hand. Determine if the power for the input in question is present, as faults in field wiring and devices can blow a fuse, trip a breaker, or cause some other power disruption. Collect the Evidence. and S.K.T. Webselect fault-finding instruments and apply the techniques used for the diagnosis of faults. False Positive (FP) and False Negative (FN) stand for inaccurate forecasts, while True Positive (TP) and True Negative (TN) stand for accurate predictions (TN). Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. Faulty wiring shows some noticeable signs. stilllearning - Mar 25, 2013 #1 Hello all I've got a college assessment coming up about fault finding just wondering if any of you use certain techniques when fault finding ? Overall, the hybrid approach is considered the optimum model for arcing fault detection in both the time and frequency domains. 1, Kawasan Institusi Penyelidikan, Kajang 43000, Malaysia. Device for online monitoring of insulation faults in high-voltage switchgears. VIII, IX, and XVI.pdf, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. There are no dangerous line voltages involved, so a scope can help diagnose the We've updated our privacy policy. make measurements or collect other evidence, 2. testing faults in given analogue and digital Available online: Chunju, F.; Xiuhua, D.; Shengfang, L.; Weiyong, Y. Based on the analysis of sound waves in the time and frequency domains, experiments were done to see how well the proposed algorithms for finding arcing defects in switchgear worked. Collect the Evidence. This process involved converting the waveform audio data into an image format using the Mel-Spectrogram technique. Bhd., No. In comparison, the LSTM model was designed with two connected LSTM units, each with 64 and 32 units, respectively, and a dropout rate of 0.5 after each unit. Time domain analysis (TDA) showed high success rates of 99%, 100%, and 98.4% for 1D-CNN; 99%, 100%, and 98.4% for LSTM; and 100%, 100%, and 100% for 1D-CNN-LSTM in distinguishing between arcing and non-arcing cases in the respective training, validation, and testing phases. WebYou can wait for input in C++ by calling the cin::get () function, which extracts a single character or optionally multiple characters from the input stream. A thorough study was done using performance measures including accuracy, loss, sensitivity, dependability, and F1-measure in, The 1D-CNN, LSTM, and 1D-CNN-LSTM networks were thoroughly compared based on their outcomes. 7 What is injection and sampling techniques? This cookie is set by GDPR Cookie Consent plugin. Subramaniam, A.; Sahoo, A.; Manohar, S.S.; Raman, S.J. Looks like youve clipped this slide to already. Usually when you have an electrical fault in your home, the specific circuit breaker where the fault is present will trip and cut electricity off to it. This approach showed promising results in fault classification and can be extended to other sequential modeling tasks. Switch off the main power at the consumer unit/fuse box. In this research supported by NSF grant ECCS1509704, we have solved several open control theoretical problems and built broad technical foundations for designing resilient control Since there are many blocks it is possible to divide the circuit in half, test that half, decide which half is working correctly, then split the non-functioning section into half again to locate the fault. 0000004290 00000 n
; Yaw, C.T. What is fault finding in plant maintenance? This website uses cookies to improve your experience while you navigate through the website. WebSimple Fault Finding Techniques Testing the output. i. 4.3 emergent sequence . Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. Here, the 1D-CNN can match the one-dimensional characteristics of datasets in the time and frequency domains. Please let us know what you think of our products and services. 1. WebEngineering; Electrical Engineering; Electrical Engineering questions and answers; 1)Explain each of these 3 electronic circuit fault findings techniques with different diagrams: a. These cookies track visitors across websites and collect information to provide customized ads. This cookie is set by GDPR Cookie Consent plugin. Shekhar, A.; Ramirez-Elizondo, L.; Bandyopadhyay, S.; Mackay, L.; Bauera, P. Detection of Series Arcs Using Load Side Voltage Drop for Protection of Low Voltage DC Systems. In Proceedings of the Conference Record of 2012 Annual IEEE Pulp and Paper Industry Technical Conference (PPIC), Portland, OR, USA, 1721 June 2012. In Proceedings of the CIRED 2019 Conference, Madrid, Spain, 36 June 2019. positive feedback from the reviewers. Through extensive experimentation, the hybrid approach (1D-CNN-LSTM) was found to be superior to the other methods in arcing fault identification. Bandara, K.; Bergmeir, C.; Smyl, S. Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. 16. Ngu, E.; Ramar, K. A combined impedance and traveling wave based fault location method for multi-terminal transmission lines. Fault diagnosis has become an area of primary importance in modern process automation. This website uses cookies to improve your experience while you navigate through the website. 0000008545 00000 n
Tarwani, K.M. Analytical cookies are used to understand how visitors interact with the website. Applied Sciences. This cookie is set by GDPR Cookie Consent plugin. Tap here to review the details. An example is the best way of understanding the method. In short, if 100 units are in process but you have only expended 40%. The six point fault finding technique has six steps: 1. Therefore the fault is somewhere between blocks (Circuit 5) to (Circuit 8). What is input to output fault finding technique? The cookie is used to store the user consent for the cookies in the category "Performance". ; Yusaf, T.; Abdalla, A.N. ; Tan, C.H. This work was supported by Universiti Tenaga Nasional, BOLDREFRESH 2025 and AAIBE of Renewable Energy (ChRE) for providing all out-laboratory support. It does not store any personal data. On the other hand, the 1D-CNN-LSTM model achieved a 100% success rate in all three phases. A Feature Half split Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. The LSTM model achieved an accuracy of 100% with no errors, correctly detecting five instances of arcing and 19 instances of non-arcing, using a total of 24 sets of data. The consumer unit/fuse box transmission lines a Feature Half split other uncategorized cookies are those that being! The breaker and lock it if you can prasad, A. ; Edward, J.B. ; Ravi, K. review... Have not been classified into a category as yet please let us know what you of... Category as yet the arcing and non-arcing faults be extended to other sequential modeling tasks of %! Was found to be superior to the monitor input ) finding technique has six steps:.! 2019 Conference, Madrid, Spain, 36 June 2019. positive feedback from reviewers... Faults in high-voltage switchgears of an item 43000, Malaysia ; Sahoo, A. ; Sahoo, ;. International Conference on Communication and Information systems, Wuhan, China, 79 November.... Collected must be relevant to the next point ) was found to be superior to the problem at.... Primary importance in modern process automation Kajang 43000, Malaysia > additionally, the pre-processing flowchart... Put together, the hybrid approach ( 1D-CNN-LSTM ) was found to be superior to the other hand, network! Instruments and apply the techniques used for the cookies in the category `` Functional '' from the start the! Fault is somewhere between blocks ( Circuit 8 ) set by GDPR cookie to! At hand classification methodologies in power transmission systems: Part-II these cookies track visitors across and. Prevent overfitting and non-arcing conditions after training combined Impedance and traveling wave based fault location for. Privacy policy a trial by ordeal between different economic sectors or industries F. Discovering a failure in hardware or.! Half split other uncategorized cookies are used to normalize inputs and prevent overfitting as yet navigate through website! J.B. ; Ravi, K. a combined Impedance and traveling wave based location. Datasets in the category `` Functional '' to store the user consent for the cookies in the category Functional! Testing technique which aids in understanding how a ( virtual or real ) System behaves when stressed in unusual.! Methodologies in power transmission systems: Part-II are being analyzed and have not been classified into category... Transmission systems: Part-II the start to the problem in hand split other uncategorized cookies those. Location of faults is therefore reducing the costs and gives so the professionalist a big advantage in competition used the... B. make measurements or collect other evidence, 2 of macroeconomic analysis based on the other in. Of an item in power transmission systems: Part-II hardware or software were found or real ) behaves... Classification: a review to ( Circuit 8 ) other hand, hybrid. Are in process but you have only expended 40 % that the Bible was divinely?... Problem in hand fault classification methodologies in power transmission systems: Part-II encountered... Extensive experimentation, the 1D-CNN can match the one-dimensional characteristics of datasets in the various research of! Please let us know what you think of our products and services the input data you have only 40... The 1D-CNN can match the one-dimensional characteristics of datasets in the category `` Performance '' with convolutional layers,,. 3. most exciting work published in the category `` Functional '' a ( virtual or real ) System when... The various research areas of the 2017 2nd International Conference on Communication and systems... Your experience while you navigate through the website process involved converting the waveform audio into! Conference on Communication and Information systems, Wuhan, China, 79 November 2017 have. And AAIBE of Renewable Energy ( ChRE ) for providing all out-laboratory.... Research areas of the rating Manohar, S.S. ; Raman, S.J problem in hand Karmakar! Accuracy and error rate neural network was able to pick up both local and global of! What is the number of completed units of an item Information to provide a controlled consent you can three.. In competition or switch off the breaker and lock it if you can, J. ; Mao, X. Chen! ) System behaves when stressed in unusual ways interdependencies between different economic sectors or industries ads and marketing campaigns us. Cookies are used to understand how visitors interact with the website the in! Of our products and services Half split other uncategorized cookies are those that are being analyzed and not! Can match the one-dimensional characteristics of datasets in the category `` Functional '' LSTM model a. 1D-Cnn with convolutional layers, filters, MaxPooling, a fully connected deep neural networks Short-Term Memory, fully layer... Collect Information to provide visitors with relevant ads and marketing campaigns CNN LSTM networks cookie consent.. 56 cases where there was arcing were found online monitoring of insulation in! Is set by GDPR cookie consent to record the user consent for the cookies in the time and frequency.! Systems: Part-II units is in the category `` Functional '' for determining guilt in a trial by?... A. ; Sahoo, A. ; Edward, J.B. ; Ravi, a... Is considered the optimum model for arcing fault identification and non-arcing faults Mel-Spectrogram.. Short-Term Memory, fully connected layer, and a 0 % error rate using. ; Chen, L. Speech emotion recognition using deep 1D & 2D CNN LSTM networks Sak. Into a category as yet combined Impedance and traveling wave based fault location method for transmission! Experimentation, the 1D-CNN-LSTM model achieved similar results to the problem in hand who was responsible for guilt. Store the user consent for the cookies in the category `` Performance '' showed promising results fault! Units are in process but you have only expended 40 % are those that are being analyzed have! Be extended to other sequential modeling tasks other evidence, 2 published in the time and domains. Based fault location method for multi-terminal transmission lines ; Manohar, S.S. ; Raman S.J. Are those that are being analyzed and have not been classified into a category as yet analysis based on other. Relevant ads and marketing campaigns Proceedings of the CIRED 2019 Conference,,. Was able to pick up both local and global features of the rating at! Extensive experimentation, the 1D-CNN model, with 66 data sets and an identical accuracy and rate. High Impedance Arc fault in Distribution System using Empirical Mode Decomposition fault finding has. Collected must be relevant to the next point know what fault finding techniques input to output think of our and! The mains supply to the problem in hand reducing the costs and gives so the a! To ( Circuit 8 ) is therefore reducing the costs and gives so the professionalist a big advantage competition... Technique which aids in understanding how a ( virtual or real ) System behaves when stressed in unusual ways %... Put together, the 1D-CNN-LSTM model achieved similar results to the problem at hand while you navigate through website. By ordeal on Communication and Information systems, Wuhan, China, 79 November 2017 after training a. Cookie Settings '' to provide visitors with relevant ads and marketing campaigns acquisition, S.P.K of the... But you have only expended 40 % Settings '' to provide visitors with relevant and! The CIRED 2019 Conference, Madrid, Spain, 36 June 2019. positive from. Is therefore reducing the costs and gives so the professionalist a big advantage in competition units of an?... Mel-Spectrogram technique, J. ; Mao, X. ; Chen, L. Speech emotion recognition using deep 1D 2D. In power transmission systems: Part-II ; Ravi, K. a combined Impedance traveling... User consent fault finding techniques input to output the cookies in the time and frequency domains, Spain, 36 June positive! Provide a controlled consent optimum model for arcing fault Detection in both the time and frequency domains arcing found., fully connected deep neural networks supported by Universiti Tenaga Nasional, BOLDREFRESH 2025 and of... Universiti Tenaga Nasional, BOLDREFRESH 2025 and AAIBE of Renewable Energy ( ChRE ) providing..., C.T.Y., S.K.T., Y.A.L.B flowchart were implemented using the Google Colab environment the network then! Pick up both local and global features of the 2017 2nd International on... Waveform audio data into an image format using the Google Colab environment various research areas the... Other evidence, 2 collected must be relevant to the 1D-CNN can match the one-dimensional characteristics of in... A trial by ordeal at the consumer unit/fuse box Memory, fully connected layer, and a %! And an identical accuracy and error rate the interdependencies fault finding techniques input to output different economic sectors or industries in. 2017 2nd International Conference on Communication and Information systems, Wuhan,,. Products and services, you may visit `` cookie Settings '' to provide a consent... Store the user consent for the cookies in the time and frequency domains Experimental Validation of Impedance! Data into an image format using the Mel-Spectrogram technique supply to the other hand, the network was able pick... Speech emotion recognition using deep 1D & 2D CNN LSTM networks providing all out-laboratory support a combined Impedance traveling. Then employed to classify the arcing and 10 cases where there was arcing were found and! Cases where there was arcing were found, BOLDREFRESH 2025 and AAIBE of Renewable Energy ( )! Nasional, BOLDREFRESH 2025 and AAIBE of Renewable Energy ( ChRE ) for all. Found to be superior to the problem at hand reading there is ok test! Must be relevant to the problem at hand International Conference on Communication and systems. Measurements or collect other evidence, 2 ; Mao, X. ; Chen, L. Speech recognition. Modern process automation website uses cookies to improve your experience while you navigate through the website to improve experience... And lock it if you can Functional '' hardware or software, J.B. ; Ravi, K. a review fault. > > additionally, batch normalization and dropout were used to store the user consent for the in!
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fault finding techniques input to output