A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems

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Title: A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems
Author: Jaradat, Mohammad Abdel Kareem Rasheed
Abstract: In this study , an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented , addressing the problem with possible multiple faults , which is based on conventional fuzzy soft clustering and artificial immune system (AIS ) . The proposed hybrid system approach consists of three main phases . In the first phase signal separation is performed using the Fuzzy C -Means (FCM ) algorithm . Subsequently a single (fused ) signal based on the information provided from the sensor signals is generated by the fusion engine . The information provided from the previous two phases is used for fault detection in the third phase based on the Artificial Immune System (AIS ) negative selection mechanism . The simulations and experiments for multiple sensor systems have confirmed the strength of the new approach for online fusing and fault detection . The hybrid system gives a fault tolerance by handling different problems such as noisy sensor signals and multiple faulty sensors . This makes the new hybrid approach attractive for solving such fusion problems and fault detection during real time operations . This hybrid system is extended for early fault detection in complex mechanical systems based on a set of extracted features ; these features characterize the collected sensors data . The hybrid system is able to detect the onset of fault conditions which can lead to critical damage or failure . This early detection of failure signs can provide more effective information for any maintenance actions or corrective procedure decisions .
URI: http : / /hdl .handle .net /1969 .1 /4780
Date: 2007-04-25

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A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems. Available electronically from http : / /hdl .handle .net /1969 .1 /4780 .

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