IN his paper, The Structure of the Training cum Research Seminar and its Implication for Medicine, Michael Balint spoke about two classes of pathological conditions: Class I comprises conditions in which a localizable 'illness' can be found. In this class scientific examinations can identify a fault either in the body or in one of the part functions in the body. In this way of thinking, the pri...

Quantifying faults in manufacturing processes is a crucial concern, particularly in new manufacturing processes where continual product improvement is desired. We present an approach to incrementally diagnose fault patterns on surfaces of product components. Contemporary experimental and surface-analysis techniques are adapted at each step of the approach. Specifically, a maturing layeredmanufa...

Power grid is the vital life line of modern society that can be easily get affected by blackouts and outages. Therefore it is important to diagnose the faults and restore the service in a timely manner in order to minimize the fault induced losses. To add to this, the complex and stochastic nature of environment factors makes automated fault identification, its diagnosis and its restoration is ...

Train passenger door is the key system for operation and maintenance on urban rail train. In this paper, we analysis passenger door system of urban rail train working process and establish the mathematical model. Firstly, we use the method of parameter estimation to get physical parameters of doors on different working condition. Then fault diagnosis experiment is done to train passenger door w...

Under the background of the deficiencies and shortcomings in traditional diesel engine fault diagnostic, the naïve Bayesian classifier method which built on the basis of the probability density function is adopted to diagnose the fault of diesel engine. A new approach is proposed to weight the super-parent one dependence estimators. To verify the validity of the proposed method, the experiments...

We propose a low complexity algorithm to diagnose non-classical faults in combinational circuits using classic single stuck-at faults as surrogates. The algorithm is based on effectcause analysis and uses information from both passing and failing patterns as well as knowledge about the outputs where error is detected or not detected. A set of candidate single stuck-at faults is identified after...