NDLI: Current sensor fault diagnosis and fault-tolerant control for single-phase PWM rectifier based on a hybrid model-based and data-driven method

Content Provider	IET Digital Library
Author	Xia, Yang Xu, Yan Gou, Bin
Abstract	In this study, a hybrid model-based and data-driven method is proposed for the current sensor fault diagnosis used in single-phase pulse width modulation (PWM) rectifier. According to the principle of model-based methods, the proposed diagnostic method is based on signal prediction and residual generation. Differently, instead of a mathematical model, the signal prediction model is developed based on a data-driven method. Non-linear autoregressive exogenous learning model, randomised learning technique, and extreme learning machine are utilised to generate the data-driven prediction model. Once the fault is detected, fault-tolerant control is activated by substituting the predicted signal for the information of faulty sensors. The offline test shows that the proposed method is able to predict the sensor signal accurately with the root mean square error of 4.276 × 10−5. In addition, hardware-in-the-loop tests are conducted to verify the feasibility and reliability of the proposed method in the real-time application.
Starting Page	4150
Ending Page	4157
Page Count	8
ISSN	17554535
Volume Number	13
e-ISSN	17554543
Issue Number	Issue 18, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2020.0519
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-pel/13/18
Journal	IET Power Electronics
Publisher Date	2021-01-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autoregressive Processes Control Engineering Computing Control of Electric Power System Current Sensor Fault Diagnosis Data Handling Data Handling Technique Data-driven Method Data-driven Prediction Model Diagnostic Method Electric Sensing Device Extreme Learning Machine Fault Diagnosis Fault Tolerant Control Feedforward Neural Network Hardware-in-the-loop Tests Hybrid Model-based Method Learning in AI Mathematical Model Model-based Method Nonlinear Autoregressive Exogenous Learning Model PWM Rectifier Randomised Learning Real-time Application Residual Generation Sensing Device And Transducers Sensor Signal Prediction Signal Prediction Model Single-phase Pulse Width Modulation Rectifier Single-phase PWM Rectifier Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Online open-switch fault diagnosis method in single-phase PWM rectifiers

Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System

Model predictive power control for a fault-tolerant grid-connected converter using reconstructed currents

State Observer-Based Sensor Fault Detection and Isolation, and Fault Tolerant Control of a Single-Phase PWM Rectifier for Electric Railway Traction

Online diagnostic method of open-switch faults in PWM voltage source rectifier based on instantaneous AC current distortion

Phase current reconstruction strategy for switched reluctance machines with fault-tolerant capability

Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features

Diagnosis of single-phase open-line fault in three-phase PWM rectifier with LCL filter

Modelling, diagnosis, and tolerant control of phase-to-phase fault in switched reluctance machine

Current sensor fault diagnosis and fault-tolerant control for single-phase PWM rectifier based on a hybrid model-based and data-driven method

Similar Documents

Online open-switch fault diagnosis method in single-phase PWM rectifiers

Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System

Model predictive power control for a fault-tolerant grid-connected converter using reconstructed currents

State Observer-Based Sensor Fault Detection and Isolation, and Fault Tolerant Control of a Single-Phase PWM Rectifier for Electric Railway Traction

Online diagnostic method of open-switch faults in PWM voltage source rectifier based on instantaneous AC current distortion

Phase current reconstruction strategy for switched reluctance machines with fault-tolerant capability

Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features

Diagnosis of single-phase open-line fault in three-phase PWM rectifier with LCL filter

Modelling, diagnosis, and tolerant control of phase-to-phase fault in switched reluctance machine

Current sensor fault diagnosis and fault-tolerant control for single-phase PWM rectifier based on a hybrid model-based and data-driven method