Infrared Thermography For Condition Diagnosis Of A Asynchronous Motor Using Transverse Dyadic Wavelet Transform

Parvathi Sangeetha, Jewel Joy, Binu Baby

Maintenance and inspection strategy in industries is very important to ensure the process run smoothly with the low maintenance cost and time consuming. In almost all industry, typically, the reliability of the critical motors is usually taken care by vibration monitoring and trending program. Although vibration is part of important element of rotating equipment, the heat transfer also can be used in order to determine the condition of the motor. This is done by applying the non-destructive testing (NDT) which is Infrared Thermography (IRT). Through this technology, the failure can be detected at the early stages. This avoids machine failure and costly unplanned shutdown. Therefore the aim of this project is to validate the use of IRT in detecting the failure of the motor through control IRT testing. Furthermore, identifying the exact location of fault using infrared signature concentration plays a vital role in fault detection. Hence, Transverse Dyadic Wavelet Transform (TDyWT) is applied to identify the concentrated thermal activity region. The results from the experiment are very significant in order to establish the application of IRT in inspection strategy. In this experimental study, a laboratory cell is designed and the two common faults such as overload and misalignment are created to stimulate the condition of a motor in a plant. Factor such as defect’s limitation, object distance and emissivity are the parameters that affect the accuracy of the results. Thus, infrared image in parallel with numerical analysis in terms of different temperature distribution is used to detect the failure during the running process of the motor in a plant.

Volume 12 | 06-Special Issue

Pages: 987-1006

DOI: 10.5373/JARDCS/V12SP6/SP20201118