A Greedy Layer-Wise Learning Algorithm for Open-Circuit Fault Diagnosis of Grid-Connected Inverters
المؤلف | Bhuiyan, E. A. |
المؤلف | Muyeen, S. M. |
المؤلف | Fahim, S. R. |
المؤلف | Sarker, S. K. |
المؤلف | Das, S. K. |
تاريخ الإتاحة | 2022-03-23T08:22:45Z |
تاريخ النشر | 2021 |
اسم المنشور | 2021 3rd International Conference on Smart Power and Internet Energy Systems, SPIES 2021 |
المصدر | Scopus |
المعرّف | http://dx.doi.org/10.1109/SPIES52282.2021.9633925 |
الملخص | This paper introduces a greedy layer-wise learning algorithm to diagnose open-circuit faults of grid-connected inverters. Inverters play important roles in energy conversion, especially when converting direct current to alternating current. The accurate functioning of inverters is essential for successful energy conversion. The diagnosis of inverter faults is the primary requirement to guarantee the reliability of the entire energy conversion operation. In this work, a multilayer learning algorithm based on a restricted Boltzmann machine (RBM) is presented for fault diagnosis of an inverter topology. It uses both supervised and unsupervised layer-wise learning and hierarchically extracts the features from a given data. A three-phase two-level grid-connected PV inverter test model has been operated for twenty-two conditions to assess the effectiveness of the proposed algorithm. The investigation results in diagnostic accuracy of 99.786% for twenty-two operating conditions of the inverter. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | Deep learning Electric inverters Energy conversion Fault detection Learning algorithms Timing circuits Alternating current Conversion operation Deep learning Direct-current Faults diagnosis Generative model Grid-connected Layer-wise Open-circuit fault Photovoltaic inverters Failure analysis |
النوع | Conference Paper |
الصفحات | 72-76 |
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
الهندسة الكهربائية [2616 items ]