Incipient Fault Detection for Chemical Processes Using Two-Dimensional Weighted SLKPCA

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b04794 ◽

2019 ◽

Vol 58 (6) ◽

pp. 2280-2295 ◽

Author(s):

Xiaogang Deng ◽

Jiawei Deng

Keyword(s):

Fault Detection ◽

Chemical Processes ◽

Two Dimensional ◽

Incipient Fault ◽

Incipient Fault Detection

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Online Incipient Fault Detection Method Based on Improved ℓ1 Trend Filtering and Support Vector Data Description

IEEE Access ◽

10.1109/access.2021.3058907 ◽

2021 ◽

Vol 9 ◽

pp. 30043-30059

Author(s):

Qingfeng Wang ◽

Xiaojin Liu ◽

Bingkun Wei ◽

Wenwu Chen

Keyword(s):

Fault Detection ◽

Detection Method ◽

Support Vector ◽

Support Vector Data Description ◽

Vector Data ◽

Data Description ◽

Incipient Fault ◽

Incipient Fault Detection

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Incipient Fault Detection of Nonlinear Processes Based on Probablility Related SVDD in Local Variable Field

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9327099 ◽

2020 ◽

Author(s):

Xiaohui Wang ◽

Yanjiang Wang ◽

Xiaogang Deng ◽

Yuping Cao

Keyword(s):

Fault Detection ◽

Nonlinear Processes ◽

Variable Field ◽

Incipient Fault ◽

Local Variable ◽

Incipient Fault Detection

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Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.108126 ◽

2021 ◽

pp. 108126

Author(s):

Yifei Ding ◽

Jichao Zhuang ◽

Peng Ding ◽

Minping Jia

Keyword(s):

Fault Detection ◽

Incipient Fault ◽

Incipient Fault Detection

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Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2018.2866976 ◽

2019 ◽

Vol 27 (6) ◽

pp. 2766-2773 ◽

Author(s):

Hongtian Chen ◽

Bin Jiang ◽

Steven X. Ding ◽

Ningyun Lu ◽

Wen Chen

Keyword(s):

Fault Detection ◽

Electric Drive ◽

Fault Detection And Diagnosis ◽

Incipient Fault ◽

Detection And Diagnosis ◽

Drive Systems ◽

Incipient Fault Detection

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The arcing fault based multi-cycle incipient fault detection for underground cable

2016 China International Conference on Electricity Distribution (CICED) ◽

10.1109/ciced.2016.7576142 ◽

2016 ◽

Author(s):

Wenhai Zhang ◽

Tuhua Tang ◽

Xinglu Yin ◽

Guanglong Qu ◽

Yang Wang

Keyword(s):

Fault Detection ◽

Underground Cable ◽

Incipient Fault ◽

Incipient Fault Detection ◽

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Case Example 1: Motor incipient fault detection using artificial neural network and fuzzy logic technologies

Computer-aided Maintenance ◽

10.1007/978-1-4615-5305-2_12 ◽

1999 ◽

pp. 263-280 ◽

Author(s):

Mo-yuen Chow ◽

Yuan-Shin Lee ◽

H. Joel Trussell

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fuzzy Logic ◽

Fault Detection ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Detection

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Performance of a Classifier Based on Time-Domain Features for Incipient Fault Detection in Inverter Drives

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2018.2854885 ◽

2019 ◽

Vol 15 (1) ◽

pp. 3-14 ◽

Author(s):

Indrayudh Bandyopadhyay ◽

Prithwiraj Purkait ◽

Chiranjib Koley

Keyword(s):

Fault Detection ◽

Time Domain ◽

Incipient Fault ◽

Incipient Fault Detection

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Incipient fault detection based on Just-in-time-learning and wavelet transform for DAB DC-DC converter

10.1109/ccdc52312.2021.9602233 ◽

2021 ◽

Author(s):

Yu Zhang ◽

Xianghua Wang ◽

Rui Yang

Keyword(s):

Wavelet Transform ◽

Fault Detection ◽

Just In Time ◽

Incipient Fault ◽

Incipient Fault Detection

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Incipient Fault Detection in Roller Bearing Using Ultrasonic Diagnostic Technique

Lecture Notes in Mechanical Engineering - Advances in Metrology and Measurement of Engineering Surfaces ◽

10.1007/978-981-15-5151-2_23 ◽

2020 ◽

pp. 243-251

Author(s):

Shashikant Pandey ◽

P. Sateesh Kumar ◽

M. Amarnath ◽

Teki Tanay Kumar ◽

Paladugu Rakesh

Keyword(s):

Fault Detection ◽

Roller Bearing ◽

Diagnostic Technique ◽

Incipient Fault ◽

Incipient Fault Detection

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Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2020.3029900 ◽

2020 ◽

pp. 1-1

Author(s):

Ping Wu ◽

Riccardo Ferrari ◽

Yichao Liu ◽

Jan-Willem van Wingerden

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Principal Component ◽

Component Analysis ◽

Data Driven ◽

Kernel Principal Component Analysis ◽

Canonical Variate ◽

Incipient Fault ◽

Incipient Fault Detection

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