Fault Diagnosis of a Vehicle Based on a History Data Hybrid Approach

2012 ◽  
Vol 1 (1) ◽  
pp. 63-72
Author(s):  
Juan Pablo Nieto Gonzlez
Keyword(s):  
Fault Diagnosis ◽  
Hybrid Approach ◽  
History Data

Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

2009 ◽  
Author(s):  
Ehsan Sobhani-Tehrani ◽  
Khashayar Khorasani
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Hybrid Approach

A hybrid approach for aircraft fault diagnosis based on fault inference and fault identification

2014 ◽  
Vol 118 (1199) ◽  
pp. 81-97 ◽  
Author(s):  
X. Liu ◽  
Z. Liu
Keyword(s):  
Fault Diagnosis ◽  
Flight Control ◽  
Correct Diagnosis ◽  
Hybrid Approach ◽  
Fault Identification ◽  
Multiple Model ◽  
Basic Fault ◽  
Cause Of Failure ◽  
Fault Mode ◽  
Fault Inference

Abstract A cockpit instrumentation system provides various elements of information for pilots. However, logical inference based on a cockpit instruments fault tree (FT) and reliability sometimes cannot give a correct diagnosis of failures. In addition, in flight control systems (FCS), a fault identification method based on the multiple-model (MM) estimator cannot find the basic fault cause. To deal with these problems, a hybrid approach which is capable of integrating inference and fault identification is proposed. In this approach, the event nodes of the FT which have correlations to the FCS are separated into modules. Each module corresponds to a fault mode of the FCS. To use these correlations, fault inference and the MM estimator can share fault diagnosis information. Simulation results show that the proposed approach is helpful in detecting the root cause of failure and is more correct than single fault diagnosis method.

scholarly journals Induction Motors Condition Monitoring System with Fault Diagnosis Using a Hybrid Approach

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1471 ◽  
Author(s):  
Hong-Chan Chang ◽  
Yu-Ming Jheng ◽  
Cheng-Chien Kuo ◽  
Yu-Min Hsueh
Keyword(s):  
Fault Diagnosis ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Induction Motors ◽  
Traditional Approach ◽  
Hybrid Approach ◽  
International Standards ◽  
Detection Approach ◽  
Condition Monitoring System ◽  
Stator Fault

This study develops a condition monitoring system, which includes operating condition monitoring (OCM) and fault diagnosis analysis (FDA). The OCM uses a vibration detection approach based on the ISO 10816-1 and NEMA MG-1 international standards, and the FDA uses a vibration-electrical hybrid approach based on various indices. The system can acquire real-time vibration and electrical signals. Once an abnormal vibration has been detected by using OCM, the FDA is applied to classify the type of faults. Laboratory results indicate that the OCM can successfully diagnose induction motors healthy condition, and FDA can classify the various damages stator fault, rotor fault, bearing fault and eccentric fault. The FDA with the hybrid approach is more reliable than the traditional approach using electrical detection alone. The proposed condition monitoring system can provide simple and clear maintenance information to improve the reliability of motor operations.

A hybrid approach to fault diagnosis of roller bearings under variable speed conditions

2017 ◽  
Vol 28 (12) ◽  
pp. 125104 ◽  
Author(s):  
Yanxue Wang ◽  
Lin Yang ◽  
Jiawei Xiang ◽  
Jianwei Yang ◽  
Shuilong He
Keyword(s):  
Fault Diagnosis ◽  
Hybrid Approach ◽  
Variable Speed ◽  
Roller Bearings
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