A systems approach to fault detection and diagnosis for condition-based maintenance

Condition Based Maintenance ◽

An artificial immune systems approach to Case-based Reasoning applied to fault detection and diagnosis

Expert Systems with Applications ◽

10.1016/j.eswa.2019.112906 ◽

2020 ◽

Vol 140 ◽

pp. 112906 ◽

Cited By ~ 2

Author(s):

Guilherme Costa Silva ◽

Eduardo E.O. Carvalho ◽

Walmir Matos Caminhas

Keyword(s):

Fault Detection ◽

Systems Approach ◽

Artificial Immune Systems ◽

Case Based Reasoning ◽

Artificial Immune ◽

Immune Systems ◽

Detection And Diagnosis ◽

Case Based

A Model-Based Fault Detection and Diagnosis Scheme for Distributed Parameter Systems: A Learning Systems Approach

ESAIM Control Optimisation and Calculus of Variations ◽

10.1051/cocv:2002003 ◽

2002 ◽

Vol 7 ◽

pp. 43-67 ◽

Cited By ~ 33

Author(s):

Michael A. Demetriou

Keyword(s):

Fault Detection ◽

Systems Approach ◽

Distributed Parameter Systems ◽

Learning Systems ◽

Distributed Parameter ◽

Model Based ◽

Fault detection and diagnosis for condition based maintenance using the Logical Analysis of data

The 40th International Conference on Computers & Indutrial Engineering ◽

10.1109/iccie.2010.5668357 ◽

2010 ◽

Cited By ~ 13

Author(s):

Soumaya Yacout

Keyword(s):

Fault Detection ◽

Logical Analysis ◽

Condition Based Maintenance ◽

Logical Analysis Of Data ◽

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 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 ◽

Line Parameter ◽

On Line ◽

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 ◽

Data Driven ◽

Knowledge Based ◽

Hybrid Approaches ◽

Combining Data ◽

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

SCADA data analytics for fault detection and diagnosis of wind turbines

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 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 ◽

Floating Wind Turbine ◽

Artificial Neural ◽

Pitch System ◽

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 ◽

Air Handling Unit ◽

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 ◽

Cited By ~ 7

Author(s):

Md Raihan Mallick ◽

Syed A Imtiaz

Keyword(s):

Fault Detection ◽

Hybrid Method ◽