工研院智慧機上盒在馬達智能預診應用
Other Title
Fault Diagnosis of Motors using ITRI Smart Machine Box
Journal
機械工業雜誌
Journal Issue
458
Start Page
37
End Page
47
ISSN
0255-0075
Date Issued
2021-05
Author(s)
Abstract
本文研究工研院智慧機上盒於工業馬達之監控技術開發，試圖在馬達運轉狀態下進行馬達磁鐵磁通、轉子角度、轉動速度與輸出力矩（Flux, Angle, Speed and Torque, FAST）之即時監控。本文提出之FAST線上即時估測技術可以準確評估馬達即時運作情形，並在估測值異常時提供馬達故障停機警示。此外在馬達故障停機後，本文更進一步開發可於停機後對靜止馬達進行之故障診斷技術，利用注入高頻訊號並量測其電氣訊號回授能夠提供更準確的馬達故障型式並判斷目前馬達故障嚴重程度。最後以特別訂製之故障馬達進行故障診斷演算法進行評估 ，證實本文提出之在線監控與離線診斷演算法能準確監控馬達運作狀況並在故障後有效評估故障情形。
This paper disscusses the development of an online diagnosis method for industrial permanent magnet (PM) motors. The proposed motor monitoring scheme is based on the estimation of flux(F), angle(A), speed(S) and torque(F), aka FAST. The FAST estimation is applied for the motor condition monitoring to provide fault alarm once motor fault occurs. If the fault signal is detected, the motor diagnosis is performed by injecting a high frequency signal at standstill. In addition, fault type can be identified based on high frequency current response. Feasibility of the proposed algorithm has been evaluated and verified on a custom faulty motor.
Subjects
永磁同步馬達
馬達監控
FAST估測
PMSM
motor monitoring
FAST estimation
Type
journal article