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Amiya R Mohanty

Bio: Amiya R Mohanty is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Noise & Rotor (electric). The author has an hindex of 23, co-authored 72 publications receiving 2877 citations. Previous affiliations of Amiya R Mohanty include Indian Institutes of Technology & Ford Motor Company.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a Hilbert-Huang Transform (HHT) based time domain approach for bearing vibration signature analysis is proposed for bearing bearing vibration analysis and its efficiency is evaluated.

489 citations

Journal ArticleDOI
TL;DR: In this article, a neural network-based sensor fusion model has been developed for tool condition monitoring (TCM), where features extracted from a number of machining zone signals, namely cutting forces, spindle vibration, spindles current, and sound pressure level have been fused to estimate the average flank wear of the main cutting edge.

331 citations

Journal ArticleDOI
TL;DR: In this paper, a discrete wavelet transform (DWT) was used to detect single and multiple bearing race faults in the ball bearings of the inner race, outer race, and the combination faults.

281 citations

Journal ArticleDOI
TL;DR: In this article, a multi-stage transmission gearbox (with and without defects) has been studied in order to replace the conventional vibration monitoring by MCSA, and it has been observed through FFT analysis that low frequencies of the vibration signatures have sidebands across line frequency of the motor current whereas high frequencies of vibration signature are difficult to be detected.

262 citations

Journal ArticleDOI
TL;DR: This paper deals with the demodulation of the current signal of an induction motor driving a multistage gearbox for its fault detection.
Abstract: Demodulation of vibration signal to detect faults in machinery has been a prominent prevalent technique that is discussed by a number of authors. This paper deals with the demodulation of the current signal of an induction motor driving a multistage gearbox for its fault detection. This multistage gearbox has three gear ratios, and thus, three rotating shafts and their corresponding gear mesh frequencies (GMFs). The gearbox is loaded electrically by a generator feeding an electrical resistance bank. Amplitude demodulation and frequency demodulation are applied to the current drawn by the induction motor for detecting the rotating shaft frequencies and GMFs, respectively. Discrete wavelet transform is applied to the demodulated current signal for denoising and removing the intervening neighboring features. Spectrum of a particular level, which comprises the GMFs, is used for gear fault detection

231 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper attempts to survey and summarize the recent research and development of EMD in fault diagnosis of rotating machinery, providing comprehensive references for researchers concerning with this topic and helping them identify further research topics.

1,410 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the PHM field is provided, followed by an introduction of a systematic PHM design methodology, 5S methodology, for converting data to prognostics information, to enable rapid customization and integration of PHM systems for diverse applications.

1,164 citations

Journal ArticleDOI
TL;DR: Current applications of wavelets in rotary machine fault diagnosis are summarized and some new research trends, including wavelet finite element method, dual-tree complex wavelet transform, wavelet function selection, newWavelet function design, and multi-wavelets that advance the development of wavelet-based fault diagnosed are discussed.

1,087 citations

Journal ArticleDOI
TL;DR: In this paper, the past contributions of CIRP in these areas are reviewed and an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring is provided.

1,074 citations

Journal ArticleDOI
TL;DR: In this article, the effects of chemical additives such as fibre treatments, fire retardants and Ultraviolet (UV) stabilizers are also addressed, and it was concluded that an optimum blend ratio of chemical additive must be employed to achieve a balance between strength and durability requirements for natural fibre composites.

1,042 citations