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<p>In induction motor shaft bent occurs due to any one or multiple defects such as mechanical overload, imbalance, misalignment, thermal expansion, corrosion and material defects. Shaft bend affects the performance of motor such as efficiency, vibration and mechanical failures. Traditionally, shaft bent is measured through dial indicator device during runtime of motor. The Dial indicator device has sensor mounting problems because of different shaft size. Continuous monitoring of shaft bend in motor is a challenging task during runtime. In this paper, Induced Magnetic Line of Field (IMLF) based shaft bend measurement is proposed. Shaft bend is measured during at different load conditions and various fault. In IMLF method, IMLF is transferred through the shaft region from the end bell of the motor. The induced magnetic field is acquired through off-axis of motor shaft through Giant Magnetoresistance (GMR) Sensor. GMR sensor is fixed at 0.5 cm away from the motor shaft and acquired IMLF from shaft material for shaft bend analysis and measurement. For shaft bend measurement, acquired GMR signals are analyzed using variable Q-factor transforms such as Rational Dilation Wavelet Transform (RaDWT) and Tunable Q Wavelet Transform (TQWT) and obtained subband energy values. RaDWT and TQWT energy band values of induced magnetic field line through shaft are used for shaft bent prediction using Multiple Linear Regression Algorithm. The IMLF method predicts shaft bentness with 97.3% accuracy during the runtime of motor.</p>

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Motor shaft bend measurement based on magnetic field using GMR sensor and multiple linear regression

  • 期刊论文

  • 发表日期：

    2025年8月22日

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  • A Adlin Arul,
  • R Vinifa,
  • J Anish Kumar,
  • N R Shanker

摘要

In induction motor shaft bent occurs due to any one or multiple defects such as mechanical overload, imbalance, misalignment, thermal expansion, corrosion and material defects. Shaft bend affects the performance of motor such as efficiency, vibration and mechanical failures. Traditionally, shaft bent is measured through dial indicator device during runtime of motor. The Dial indicator device has sensor mounting problems because of different shaft size. Continuous monitoring of shaft bend in motor is a challenging task during runtime. In this paper, Induced Magnetic Line of Field (IMLF) based shaft bend measurement is proposed. Shaft bend is measured during at different load conditions and various fault. In IMLF method, IMLF is transferred through the shaft region from the end bell of the motor. The induced magnetic field is acquired through off-axis of motor shaft through Giant Magnetoresistance (GMR) Sensor. GMR sensor is fixed at 0.5 cm away from the motor shaft and acquired IMLF from shaft material for shaft bend analysis and measurement. For shaft bend measurement, acquired GMR signals are analyzed using variable Q-factor transforms such as Rational Dilation Wavelet Transform (RaDWT) and Tunable Q Wavelet Transform (TQWT) and obtained subband energy values. RaDWT and TQWT energy band values of induced magnetic field line through shaft are used for shaft bent prediction using Multiple Linear Regression Algorithm. The IMLF method predicts shaft bentness with 97.3% accuracy during the runtime of motor.