Ehsani-Seresht, Abbas, Bolourian, Ali, RoshanFekr, Reza. (1401). Detection of the Misalignment Fault in Non-Electric Rotating Machines Through the Current Signal of a Brushless Direct Current Motor. هنرهای کاربردی, 2(3), 11-17. doi: 10.22075/mseee.2023.28937.1121
Abbas Ehsani-Seresht; Ali Bolourian; Reza RoshanFekr. "Detection of the Misalignment Fault in Non-Electric Rotating Machines Through the Current Signal of a Brushless Direct Current Motor". هنرهای کاربردی, 2, 3, 1401, 11-17. doi: 10.22075/mseee.2023.28937.1121
Ehsani-Seresht, Abbas, Bolourian, Ali, RoshanFekr, Reza. (1401). 'Detection of the Misalignment Fault in Non-Electric Rotating Machines Through the Current Signal of a Brushless Direct Current Motor', هنرهای کاربردی, 2(3), pp. 11-17. doi: 10.22075/mseee.2023.28937.1121
Ehsani-Seresht, Abbas, Bolourian, Ali, RoshanFekr, Reza. Detection of the Misalignment Fault in Non-Electric Rotating Machines Through the Current Signal of a Brushless Direct Current Motor. هنرهای کاربردی, 1401; 2(3): 11-17. doi: 10.22075/mseee.2023.28937.1121

Detection of the Misalignment Fault in Non-Electric Rotating Machines Through the Current Signal of a Brushless Direct Current Motor

Journal of Modeling and Simulation in Electrical and Electronics Engineering
دوره 2، شماره 3 - شماره پیاپی 9، زمستان 2022، صفحه 11-17    اصل مقاله (1.51 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22075/mseee.2023.28937.1121
نویسندگان
Abbas Ehsani-Seresht* 1؛ Ali Bolourian1؛ Reza RoshanFekr2
1Department of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran
2Department of Electrical Engineering, Hakim Sabzevari University, Sabzevar, Iran
چکیده
One of the most common causes of vibration in rotating machines is the misalignment fault. The Motor Current Signature Analysis (MCSA) is an excellent method for the detection of the misalignment fault on those electric machines whose current signals are practically available. This paper aims to extend the application of the MCSA method to non-electric rotating systems for the detection of the misalignment fault between the driver machine and the driven machine. For this, a small brushless direct current (BLDC) motor was connected to the driver machine. Then, by using the Fast Fourier Transform and Wavelet Packet Transform the current signal of the BLDC motor was analyzed to detect the misalignment fault. In addition, a fault detection indicator was provided using the energy of the current signal. For the evaluation of the proposed method, an experimental setup was provided. The driver machine of the setup was an induction machine. So, it was possible to investigate the misalignment fault through both the BLDC motor and the induction motor. The results showed that the misalignment fault can be detected by the current signal of the BLDC motor as well as the current signal of the driver machine.
کلیدواژه‌ها
Condition monitoring؛ Fault detection؛ Fast Fourier Transform؛ Wavelet packet transform
مراجع
آمار
تعداد مشاهده مقاله: 371
تعداد دریافت فایل اصل مقاله: 561
دانشگاه سمنان
پیوندهای مفید
آمار
تعداد نشریات22
تعداد شماره‌ها723
تعداد مقالات10,402
تعداد مشاهده مقاله72,899,864
تعداد دریافت فایل اصل مقاله64,575,484