Dr. Piyush Shakya | Associate Professor in the Department of Mechanical Engineering, Indian Institute of Technology Madras.

Areas of Research

Research Interests

Fault Diagnosis and Prognosis

Structural Health Monitoring

Machine Elements (Rolling element bearings and gears)

Stochastic Signal Processing

Sensor Integration/Multi-sensor Data Fusion

Wind Turbines and Electric Vehicles Power Trains

Opportunities

Currently, looking for Post Doctoral candidates.

Research Images

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The experimental test setup for vibration data acquisition.

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Microscopic image of the wheel in the worn-out state.

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Marginal Hilbert spectrum corresponding to IMF1. (a) 80 μm cutting depth; (b) 120 μm cutting depth.

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The actual setup of sensors for grinding wheel condition monitoring.

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Picture of the three balls with defect (accelerated test bearing)

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Mahalanobis distance variation with change in the number of data points considered as healthy

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Failed bearing after dismantling

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STFT spectrum 0.5 mm crack case a.) Constant speed condition, b.) Variable speed condition.

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Test gearbox configuration a.) Gearbox section, b.) 0.5 mm crack, c.) 0.7 mm crack (30x magnified).

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Comparison of percentage change in values of RMS, Peak and Mahalanobis Distance

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The LSTM-based RUL results of bearing (x-axis is time in multiple of 10 min): (a) LTSA-based method. (b) LLE-based method.

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Test bed a.) Seeded defect test rig, b.) Accelerometer mounting.

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Gear FEA model

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Picture of the inner race with defect (naturally induced and progressed defect)

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Picture of the outer race with defect (naturally induced and progressed defect

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Comparison of BSF amplitude values for different approaches.