Fault Diagnosis of Induction Motors Using Motor Current Signature Analysis

Abstract

Induction motors are termed as horses of modern industry because they are playing a vital role in industries. They are simple, efficient, robust, rugged, and highly reliable. The feasibility of mishap in induction motors is less, but they are prone to faults, which are left unobserved most of the time. Hence, more attention has been paid to detection and diagnosis of incipient faults to prevent damage spreading and increase the lifetime of the motor. To detect and diagnose the faults, online condition monitoring of the machine has been utilized in a wide manner. At present, focus is made on optimization procedures for fault diagnosis in induction motors to obtain a quick assessment at industry level. This chapter discloses an overview of various types of possible faults in induction motors. In addition, the conventional (invasive) and innovative techniques (noninvasive), especially motor current signature analysis (MCSA), techniques for fault detection and diagnosis in induction machines are covered with a focus on future research.

Higher-Order Spectral Analysis of Stray Flux Signals for Faults Detection in Induction Motors

“…On the other hand, although less used, the phase spectrum of the cosine signal of ( 16) is also shown. The phase spectrum contains an arrangement with the amplitude in degrees of the phase of the signal, that is taken as ϑ k = π/4 in (16). Its corresponding phase spectrum is shown below in Figure 6.…”

“…One of the most commonly used techniques is vibration analysis [10,12,58] and motor-current analysis or motor current signature analysis (MCSA) [35,64,65]. These techniques are based on the spectrum analysis using the Fourier transform for the detection of specific faults since the frequency spectrum shows numerous harmonics including the fundamental and the faults adjacent frequencies, that differ between faulty and healthy motors, because different electrical and mechanical faults generate different signatures [11,13,16].…”

Bearing Fault Detection in Induction Motors Using Line Currents

“…The two types of condition-based monitoring techniques are online and offline tests [6]. The online tests are performed without isolating the motor from the power supply, while the offline test is performed by isolating the motor from the power supply [7].…”