Ramesh S. Wadawadagi

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Motorcycles produce sound patterns with varying temporal and spectral properties under different working conditions. These sound signals carry important source of information which helps in automated diagnosis of faults. Fault diagnosis is a process of identifying the source of failure from a set of observed fault indications. This study gives an empirical(More)
Vehicles generate dissimilar sound patterns under different health conditions. The sound generated by the vehicles gives a clue of some of the faults. Automotive experts diagnose the faults in vehicles based on the produced sound. This paper presents a methodology for fault source localization in motorcycles using the estimated pseudospectra of the sound(More)
Motorcycles produce sound signals with varying temporal and spectral properties under different working conditions. These sounds can be the source of information for automatic diagnosis of faults. Several models have been proposed for fault detection and diagnosis in motorcycles based on acoustic signals. However, these models are not capable of assessing(More)
Motorcycles produce sound signals with varying temporal and spectral properties under different working conditions. These sound patterns can be used as an important source of information for automatic diagnosis of faults in motorcycles. Fault localization is a process of identifying the exact source of failure from a set of observed fault indications. The(More)
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