Open Circuit (OC) and Short Circuit (SC) IGBT Switch Fault Detection in Three-Phase Standalone Photovoltaic Inverters Using Shallow Neural Networks
Authors:
- 29 November 2022
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Abstract
This paper presents a reliable IGBT open-circuit and short-circuit switch fault detection technique for a standalone photovoltaic two-level inverter using a shallow neural network. After applying the extended park vector approach (EVPA) to the three-phase currents at the load terminal, temporal features were extracted. Afterwards, exploratory analysis of these features was conducted via Principal Component Analysis (PCA) technique. Following an ablation study and normalization of the data, the feature-set was split into training, validation, and test sets that were used as the inputs to a variety of neural and non-neural-based classifiers. A shallow neural network with tangent-sigmoid activation that exhibits the property to output probabilities and its class memberships proved to have the best test-set accuracy compared to others.Keywords
This publication has 13 references indexed in Scilit:
- An open-circuit fault-diagnosis method for inverters based on phase currentTransportation Safety and Environment, 2020
- A Novel Approximate Model Based Fault Diagnosis Technique for a Photovoltaic DC/AC Grid Tied Inverter2019
- Fault detection and diagnosis in voltage source inverters using principle component analysis2017
- A Novel Open-Circuit Fault Diagnosis Method for Voltage Source Inverters With a Single Current SensorIEEE Transactions on Power Electronics, 2017
- Fault Diagnosis and Fault-Tolerant Control Operation of Nonisolated DC–DC ConvertersIEEE Transactions on Industry Applications, 2017
- Wavelet based component fault detection in diode clamped multilevel inverter using probabilistic neural network2017
- A novel static fault diagnosis approach for three-phase full-bridge inverter2015
- PV System Reliability: An Operator's PerspectiveIEEE Journal of Photovoltaics, 2013
- A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters2008
- Neural network based fault diagnosis and reconfiguration method for multilevel inverter2008