Event-Triggered Fault Detection and Diagnosis for Networked Systems With Sensor and Actuator Faults

IEEE Access ◽

10.1109/access.2019.2928473 ◽

2019 ◽

Vol 7 ◽

pp. 95857-95866

Author(s):

Zengwang Jin ◽

Yanyan Hu ◽

Chao Li ◽

Changyin Sun

Keyword(s):

Fault Detection ◽

Fault Detection And Diagnosis ◽

Networked Systems ◽

Actuator Faults ◽

Detection And Diagnosis ◽

Event Triggered

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An adaptive observer-based fault detection and diagnosis for nonlinear systems with sensor and actuator faults

2015 International Conference on Advanced Mechatronic Systems (ICAMechS) ◽

10.1109/icamechs.2015.7287160 ◽

2015 ◽

Author(s):

Xiaomo Yan ◽

Bailing Tian ◽

Hong Wang

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Fault Detection And Diagnosis ◽

Adaptive Observer ◽

Actuator Faults ◽

Detection And Diagnosis

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Fault Detection and Diagnosis for a Class of Nonlinear Systems with Decentralized Event-triggered Transmissions ★ ★This work was supported by the National Natural Science Foundation of China under Grants 61490701, 61210012, 61290324, 61473163, and 61273156, Tsinghua University Initiative Scientific Research Program, and Jiangsu Provincial Key Laboratory of E-business at Nanjing University of Finance and Economics of China under Grant JSEB201301.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.679 ◽

2015 ◽

Vol 48 (21) ◽

pp. 1134-1139 ◽

Author(s):

LIU Yang ◽

HE Xiao ◽

WANG Zidong ◽

ZHOU Dong-Hua

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Research Program ◽

Natural Science ◽

Scientific Research ◽

Fault Detection And Diagnosis ◽

Tsinghua University ◽

Detection And Diagnosis ◽

Scientific Research Program ◽

Event Triggered

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Multiple model–based fault detection and diagnosis for helicopter with actuator faults via quantum information technique

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ◽

10.1177/0959651813511240 ◽

2013 ◽

Vol 228 (3) ◽

pp. 182-190 ◽

Author(s):

Fuyang Chen ◽

Shijun Zhang ◽

Bin Jiang ◽

Gang Tao

Keyword(s):

Quantum Information ◽

Fault Detection ◽

Fault Detection And Diagnosis ◽

Multiple Model ◽

Actuator Faults ◽

Model Based ◽

Detection And Diagnosis

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Wind turbine fault detection and diagnosis using LSTM neural network

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188709 ◽

2020 ◽

Author(s):

Taoran Yang ◽

Jing Teng ◽

Changling Li ◽

Yizhan Feng

Keyword(s):

Neural Network ◽

Fault Detection ◽

Wind Turbine ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

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Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility

i-manager’s Journal on Instrumentation and Control Engineering ◽

10.26634/jic.2.1.2787 ◽

2014 ◽

Vol 2 (1) ◽

pp. 1-8

Author(s):

Sheikh Rafik Manihar Ahmed ◽

Keyword(s):

Fault Detection ◽

Induction Machine ◽

Fault Detection And Diagnosis ◽

Line Parameter ◽

On Line ◽

Detection And Diagnosis

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Overview on hybrid approaches to fault detection and diagnosis: Combining data-driven, physics-based and knowledge-based models

Procedia CIRP ◽

10.1016/j.procir.2021.03.041 ◽

2021 ◽

Vol 99 ◽

pp. 278-283

Author(s):

Yannick Wilhelm ◽

Peter Reimann ◽

Wolfgang Gauchel ◽

Bernhard Mitschang

Keyword(s):

Fault Detection ◽

Fault Detection And Diagnosis ◽

Data Driven ◽

Knowledge Based ◽

Hybrid Approaches ◽

Combining Data ◽

Detection And Diagnosis

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SCADA data analytics for fault detection and diagnosis of wind turbines

2021 7th International Conference on Control, Instrumentation and Automation (ICCIA) ◽

10.1109/iccia52082.2021.9403538 ◽

2021 ◽

Author(s):

Ana Maria Peco Chacon ◽

Fausto Pedro Garcia Marquez

Keyword(s):

Fault Detection ◽

Wind Turbines ◽

Data Analytics ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

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Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks

Renewable Energy ◽

10.1016/j.renene.2020.12.116 ◽

2021 ◽

Author(s):

Seongpil Cho ◽

Minjoo Choi ◽

Zhen Gao ◽

Torgeir Moan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Wind Turbine ◽

Kalman Filters ◽

Fault Detection And Diagnosis ◽

Floating Wind Turbine ◽

Artificial Neural ◽

Pitch System ◽

Detection And Diagnosis

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Fault detection and diagnosis for Air Handling Unit based on multiscale convolutional neural networks

Energy and Buildings ◽

10.1016/j.enbuild.2021.110795 ◽

2021 ◽

Vol 236 ◽

pp. 110795

Author(s):

Fanyong Cheng ◽

Wenjian Cai ◽

Xin Zhang ◽

Huanyue Liao ◽

Can Cui

Keyword(s):

Neural Networks ◽

Fault Detection ◽

Convolutional Neural Networks ◽

Fault Detection And Diagnosis ◽

Air Handling Unit ◽

Detection And Diagnosis

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A Hybrid Method for Process Fault Detection and Diagnosis

IFAC Proceedings Volumes ◽

10.3182/20131218-3-in-2045.00099 ◽

2013 ◽

Vol 46 (32) ◽

pp. 827-832 ◽

Author(s):

Md Raihan Mallick ◽

Syed A Imtiaz

Keyword(s):

Fault Detection ◽

Hybrid Method ◽

Fault Detection And Diagnosis ◽

Detection And Diagnosis

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