The railway assets studied in this project, are those widely distributed pieces of equipment that are critical to the dependable operation of the railway system. A failed asset is likely to cause significant delay to rail services, and may even place the system into an unsafe state. A generic fault detection and diagnosis (FDD) solution for a number of railway assets of different types is there...

We study the problem of fault diagnosis, i.e., localization of difference(s) between an implementation and a specification in systems modelled by finite state machines. We show that even considering only a single fault in a finite state machine there are some situations when the exact diagnosis of the fault cannot be assured. We give an algorithm for fault diagnosis. If it is possible the proce...

With the increasing complexity of VLSI devices, more complex faults have appeared. Most of previous fault diagnosis methods considered a single defect assumption. However, for present technologies and chip sizes, defects have tendency to be clustered. So, we propose a multiple fault diagnosis method using a fault selection table. The proposed method can diagnose multiple defects based on a sing...

Combining a simplified on-board turbo-shaft model with sensor fault diagnostic logic, a model-based sensor fault diagnosis method is proposed. The existing fault diagnosis method for turbo-shaft engine key sensors is mainly based on a double redundancies technique, and this can't be satisfied in some occasions as lack of judgment. The simplified on-board model provides the analytical third chan...

Fault diagnosis has attracted extensive attention for its importance in the exceedingly fault management framework for cloud virtualization, despite the fact that fault diagnosis becomes more difficult due to the increasing scalability and complexity in a heterogeneous environment for a virtualization technique. Most existing fault diagnoses methods are based on active probing techniques which ...

On the rotor comprehensive fault simulation testbed, characteristics of acoustic emission signal of different crack rotors in various depth and conditions are analyzed by the acoustic emission extraction experiment. The noiseeliminating method of the acoustic emission signal was researched by the wavelet packet technique, the characteristics of acoustic emission signal of the rotor crack was al...

Integrated Systems Health Management includes fault detection, fault diagnosis (or fault isolation), and fault prognosis. We define prognosis to be detecting the precursors of a failure, and predicting how much time remains before a likely failure. Algorithms that use the data-driven approach to prognosis learn models directly from the data, rather than using a hand-built model based on human e...

According to fuzziness and complexity of mechanism wear fault,a kind of intelligent diagnosis system for mechanism wear fault based on fuzzyneural network is put forward. The structure and learning method of fuzzyneural network are introduced. This paper analysises how to create the characteristic vector of wear particles and standard wear particles spectrum by combine the characteristics of me...

According to the current application and maintenance situation of gearbox of wind turbine, this paper analyzed the remote fault diagnosis system used for monitoring fault occurrence and diagnosing fault, which is a combination of Expert System and Artificial Neural Networks. A practical fault instance of gearbox of wind turbine is analyzed to define the expert system’s knowledge base structure ...