Fault detection and diagnosis for data incomplete industrial systems with new Bayesian network approach

Network Approach ◽

Industrial Systems ◽

Fault detection and diagnosis for missing data systems with a three time-slice dynamic Bayesian network approach

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2014.07.009 ◽

2014 ◽

Vol 138 ◽

pp. 30-40 ◽

Cited By ~ 21

Author(s):

Zhengdao Zhang ◽

Feilong Dong

Keyword(s):

Missing Data ◽

Fault Detection ◽

Bayesian Network ◽

Dynamic Bayesian Network ◽

Time Slice ◽

Data Systems ◽

Network Approach ◽

Fault Detection and Diagnosis in Industrial Systems

Journal of Process Control ◽

10.1016/s0959-1524(01)00050-6 ◽

2002 ◽

Vol 12 (3) ◽

pp. 453-454 ◽

Cited By ~ 5

Author(s):

Thomas McAvoy

Keyword(s):

Fault Detection ◽

Industrial Systems ◽

Fault detection and diagnosis of chiller using Bayesian network classifier with probabilistic boundary

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2016.06.153 ◽

2016 ◽

Vol 107 ◽

pp. 37-47 ◽

Cited By ~ 28

Author(s):

Suowei He ◽

Zhiwei Wang ◽

Zhanwei Wang ◽

Xiaowei Gu ◽

Zengfeng Yan

Keyword(s):

Fault Detection ◽

Bayesian Network ◽

Bayesian Network Classifier ◽

Fault Detection and Diagnosis in Industrial Systems Advanced Textbooks in Control and Signal Processing

Industrial Robot the international journal of robotics research and application ◽

10.1108/ir.2001.04928eae.003 ◽

2001 ◽

Vol 28 (5) ◽

Cited By ~ 1

Author(s):

Jon Rigelsford

Keyword(s):

Signal Processing ◽

Fault Detection ◽

Industrial Systems ◽

A neural-network approach to fault detection and diagnosis in industrial processes

IEEE Transactions on Control Systems Technology ◽

10.1109/87.641399 ◽

1997 ◽

Vol 5 (6) ◽

pp. 529-541 ◽

Cited By ~ 81

Author(s):

Y. Maki ◽

K.A. Loparo

Keyword(s):

Neural Network ◽

Fault Detection ◽

Industrial Processes ◽

Network Approach ◽

Neural Network Approach ◽

Fault Detection and Diagnosis in Industrial Systems

10.1007/978-1-4471-0347-9 ◽

2001 ◽

Cited By ~ 710

Author(s):

Leo H. Chiang ◽

Evan L. Russell ◽

Richard D. Braatz

Keyword(s):

Fault Detection ◽

Industrial Systems ◽

Fault detection and diagnosis using Bayesian-network inference

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2017.8216872 ◽

2017 ◽

Cited By ~ 1

Author(s):

Yuping Zhang ◽

Liyu You ◽

Chunhua Jia

Keyword(s):

Fault Detection ◽

Bayesian Network ◽

Network Inference ◽

Detection And Diagnosis ◽

Bayesian Network Inference

A Framework to Automate Fault Detection and Diagnosis Based on Moving Window Principal Component Analysis and Bayesian Network

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107837 ◽

2021 ◽

pp. 107837

Author(s):

Arthur Henrique de Andrade Melani ◽

Miguel Angelo de Carvalho Michalski ◽

Renan Favarão da Silva ◽

Gilberto Francisco Martha de Souza

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Moving Window ◽

Dynamic process fault detection and diagnosis based on a combined approach of hidden Markov and Bayesian network model

Chemical Engineering Science ◽

10.1016/j.ces.2019.01.060 ◽

2019 ◽

Vol 201 ◽

pp. 82-96 ◽

Cited By ~ 17

Author(s):

Mihiran Galagedarage Don ◽

Faisal Khan

Keyword(s):

Fault Detection ◽

Bayesian Network ◽

Network Model ◽

Dynamic Process ◽

Hidden Markov ◽

Combined Approach ◽

Bayesian Network Model ◽

Fault detection and diagnosis of chillers using Bayesian network merged distance rejection and multi-source non-sensor information

Applied Energy ◽

10.1016/j.apenergy.2016.11.130 ◽

2017 ◽

Vol 188 ◽

pp. 200-214 ◽

Cited By ~ 42

Author(s):

Zhanwei Wang ◽

Zhiwei Wang ◽

Suowei He ◽

Xiaowei Gu ◽

Zeng Feng Yan

Keyword(s):

Fault Detection ◽

Bayesian Network ◽

Sensor Information ◽