The large aircraft engine fault diagnosis in the problem of accurate. General components with different, large aircraft engine structure and its complex, the work in higher frequency failure, failure appear in a relatively short time, and it is difficult to retrieval, leading to establish the connection between the fault occurs when the connection breaks. The traditional fault detection method ...

A new fault list reduction approach is proposed for use in the first stage of a two-stage bridge fault diagnosis procedure. Modified structural analysis and layout extraction procedures are performed to obtain a reduced realistic bridge fault list that can be used in the second stage, which employs diagnostic fault simulation. The fault list reduction approach can reduce the final candidate bri...

This article describes an emulation-based method for locating stuck-at faults in combinational and synchronous sequential circuits. The method is based on automatically designing a circuit which implements a closest-match fault location algorithm specialized for the circuit under diagnosis (CUD). This method allows designers to perform dynamic fault location of stuck-at faults in large circuits...

This paper propose a diagnosis architecture that integrates consistency based diagnosis with induced time series classifiers, trying to combine the advantages of both methods. Consistency based diagnosis allows fault detection and localization without prior knowledge of the device fault modes. Machine learning techniques are able to induce time series classifiers that may be used to identify fa...

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

In order to increase the diagnostic accuracy of ground-source heat pump (GSHP) system, especially for multiple-simultaneous faults, the paper proposes a multi-source information fusion based fault diagnosis methodology by using Bayesian network, due to the fact that it is considered to be one of the most useful models in the filed of probabilistic knowledge representation and reasoning, and can...

This paper presents an overview of real-time fault diagnosis and describes essential features of a software environment for developing real-time fault diagnosis systems. The G2 Diagnostic Assistant is an environment for real-time fault diagnosis, created using the G2 Real-Time Expert System. The principle component of the Diagnostic Assistant is a graphical language for representing diagnostic ...

As the continuous development of intelligent mechatronic systems and robots, the fault diagnosis technology is making full advances in many practical applications. In this paper, an advanced fault diagnosis system, which consists of logical control units, microcontrollers, colour display screens and an industry PC, is developed for SS7E locomotives in China. Based on thoroughly analysing the st...