Nonlinear learning approach to robust fault diagnosis

1999 ◽  
Author(s):  
A. T. Vemuri ◽  
M. M. Polycarpou
Keyword(s):  
Fault Diagnosis ◽  
Learning Approach ◽  
Nonlinear Learning

scholarly journals Application of FURIA for Finding the Faults in a Hydraulic Brake System Using a Vibration Analysis through a Machine Learning Approach

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Alamelu Manghai T. M ◽  
Jegadeeshwaran R
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Decision Tree ◽  
Continuous Monitoring ◽  
Selection Process ◽  
Brake System ◽  
Learning Approach ◽  
Vibration Signals ◽  
Hydraulic Brake ◽  
Machine Learning Approach

Vibration-based continuous monitoring system for fault diagnosis of automobile hydraulic brake system is presented in this study. This study uses a machine learning approach for the fault diagnosis study. A hydraulic brake system test rig was fabricated. The vibration signals were acquired from the brake system under different simulated fault conditions using a piezoelectric transducer. The histogram features were extracted from the acquired vibration signals. The feature selection process was carried out using a decision tree. The selected features were classified using fuzzy unordered rule induction algorithm ( FURIA ) and Repeated Incremental Pruning to Produce Error Reduction ( RIPPER ) algorithm. The classification results of both algorithms for fault diagnosis of a hydraulic brake system were presented. Compared to RIPPER and J48 decision tree, the FURIA performs better and produced 98.73 % as the classification accuracy.

scholarly journals Open Switch Fault Diagnosis Method for PWM Voltage Source Rectifier Based on Deep Learning Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 66595-66608 ◽  
Author(s):  
Tiancheng Shi ◽  
Yigang He ◽  
Tao Wang ◽  
Bing Li
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Voltage Source ◽  
Learning Approach ◽  
Open Switch ◽  
Diagnosis Method

scholarly journals An Ensemble Learning Approach for Fault Diagnosis in Self-Organizing Heterogeneous Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 125662-125675 ◽  
Author(s):  
Yueping Wang ◽  
Kun Zhu ◽  
Mengyun Sun ◽  
Yueyu Deng
Keyword(s):  
Fault Diagnosis ◽  
Ensemble Learning ◽  
Heterogeneous Networks ◽  
Learning Approach ◽  
Self Organizing

Chemical plant fault diagnosis through a hybrid symbolic-connectionist machine learning approach

1998 ◽  
Vol 22 (1-2) ◽  
pp. 299-321 ◽  
Author(s):  
B. Özyurt ◽  
A.K. Sunol ◽  
M.C. Çamurdan ◽  
P. Mogili ◽  
L.O. Hall
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Chemical Plant ◽  
Learning Approach ◽  
Machine Learning Approach
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