Vibration and current transient monitoring for gearbox fault detection using multiresolution Fourier transform

Kar, Chinmaya; Mohanty, A.R.

doi:10.1016/j.jsv.2007.08.023

Cited by 115 publications

(48 citation statements)

References 25 publications

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“…Wang et al (2001) have focused the use of vibration frequency analysis for gear fault detection. Kar and Mohanty (2008) have shown the application of multiresolution Fourier transform and wavelet transform to current signature to find out gear faults.…”

Section: Figure 1 Progress On Fdimentioning

confidence: 99%

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

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Due to growth of mechanisation and automation, today's industrial systems are becoming more complex. A small breakdown of any non-redundant machine component affects the operation of the entire system. To increase the availability and reliability, automated health monitoring and self-diagnostic capability (SDC) becoming essential to many industrial machineries like pumps, motors, etc. Condition monitoring does not prevent the failure, but it can predict the possibility of future failure by measuring certain machine parameters. Though there are various condition monitoring techniques, vibration analysis and motor current signature analysis (MCSA) are most suitable for detection of faults and abnormalities in machine systems. This work attempts to develop an SDC framework and diagnose the impeller condition of a centrifugal pump using MCSA. Time and frequency domain analyses are done for different impeller conditions of the pump, such as normal impeller and defective impellers. Significant differences are observed and a fault prediction strategy is recommended. Nitaigour P. Mahalik has expertise in the field of distributed control, FDI and soft computing. With 20 years of teaching experiences, he has published about 100 papers, 5 books, and 12 chapters. He has supervised five PhD and 30 MS theses/projects. He is the editor and committee members of several journals. He was the recipient of NOS and Brain-Korea fellowships and member of ISTE, ATMAE, ASABE, and ISA. Keywords

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Section: Figure 1 Progress On Fdimentioning

confidence: 99%

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

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“…This condition demands more general time and frequency-domain analysis such as short-time Fourier transform (STFT) [60]. Equation (2) shows the integral kernel dependency on time and frequency and (3) the Haning window function with period .…”

Section: Frequency Spectrummentioning

confidence: 99%

Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves

Pino

Ribas

Guimarães

2018

Shock and Vibration

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The contribution of a medium-sized hydro power plant to the power grid can be either at base load or at peak load. When the latter is the most common operation mode, it increases the start and stop frequency, intensifying the hydro turbine components' degradation, such as the guide bearings. This happens due to more frequent operation in transient states, which means being outside the service point of the machines' nominal condition, consisting of speed, flow, and gross head. Such transient state operation increases the runner bearings' mechanical vibration. The readings are acquired during the runner start-ups and filtered by a DC component mean value and a wavelet packet transform. The filtered series are used to estimate the relationship between the maximum orbit curve displacement and the accumulated operating hours. The estimated equation associated with the ISO 7919-5 vibration standards establishes the sojourn times of the degradation states, sufficient to obtain the transition probability distribution. Thereafter, a triangular probability function is used to determine the observation probability distribution in each state. Both matrices are inputs required by a hidden Markov model aiming to simulate the equipment deterioration process, given a sequence of maximum orbit curve displacements.

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“…The failures observed in gearboxes are typically a combination of the following five failure mechanisms, see Kar and Mohanty (2008):…”

Section: Gearbox Failuresmentioning

confidence: 99%

Review on Approaches for Condition Based Maintenance in Applications with Induction Machines located Offshore

Cibulka¹,

Ebbesen²,

Hovland³

et al. 2012

MIC

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This paper presents a review of different approaches for Condition Based Maintenance (CBM) of induction machines and drive trains in offshore applications. The paper contains an overview of common failure modes, monitoring techniques, approaches for diagnostics, and an overview of typical maintenance actions. Although many papers have been written in this area before, this paper puts an emphasis on recent developments and limits the scope to induction machines and drive trains applied in applications located offshore.

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Vibration and current transient monitoring for gearbox fault detection using multiresolution Fourier transform

Cited by 115 publications

References 25 publications

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves

Review on Approaches for Condition Based Maintenance in Applications with Induction Machines located Offshore

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