vehicle driveline system and its working accuracy play an important role in the performance of car. the purpose of this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size of defects in the vehicle power transmission system. this is based on the patterns of the residual signal, obtained from a simulated model of the system. neuro-fuz...

Water pipe network is installed underground and once equipped, it is difficult to recognize the state of pipes when the leak or burst happens. Accordingly, post management is often delayed after the fault occurs. Therefore, the systematic fault management system of water pipe network is required to prevent the accident and minimize the loss. In this work, we develop online fault detection syste...

Full chip statistical fault injection has been performed on a hardware emulated POWER6 platform. These results were validated against proton beam injection results. The fault isolation, error recovery and error logging capabilities of the POWER6 enabled measurement of the architectural derating factors. The proportion of errors as well as derating factors matched well between the simulated and ...

in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

Fault tree analysis is widely used in industry in fault diagnosis. The diagnosis of incipient or ‘soft’ faults is considerably more difficult than of ‘hard’ faults, which is the situation considered normally. A detailed fault tree model reflecting signal variations over wide range is required for diagnosing such soft faults. This paper describes the investigation of a machine learning method fo...

The main objective of this study is estimating acceleration time history of 16 September 1978 Tabas earthquake incorporating the seismological/geological source-path and site model parameters by using finite-fault simulation approach. The method generalizes the stochastic ground-motion simulation technique, developed for point sources, to the case of finite faults. It subdivides the fault plane...

contrary to the long period ground motions that can be predicted and estimated, high frequency ground motions have random character and behave stochastically. stochastic modeling methods are usually used for the modeling of high frequency ground motions where there are not strong ground motion records. stochastic methods are of two kinds: in the first one, the seismic source is considered as a ...

This paper discusses an algorithm to model any given multiple stuck at fault as a single stuck at fault with the insertion of at most n+3 gates, where n is the multiplicity of the targeted fault. The application of this model in circuit optimization, fault diagnosis and testing of multiply testable faults is discussed with examples. Any arbitrary multiple fault in combinational and sequential c...

Fault detection and post-fault operation are two functionalities of modern fault-tolerant system. In this paper, a new current predictive method for single open-phase fault (SOPF) detection in permanent magnet synchronous machine (PMSM) is presented. Major advantage of the proposed method is the capability of detecting open-phase fault in a few sampling intervals (few hundreds of μs). Also, an ...