DocumentCode :
468456
Title :
Simple realtime condition monitoring tools for low-cost motor drives
Author :
Akin, Bilal ; Toliyat, Hamid A. ; Orguner, Umut ; Rayner, Mark
Author_Institution :
Texas A&M Univ., College Station
fYear :
2007
fDate :
8-11 Oct. 2007
Firstpage :
963
Lastpage :
973
Abstract :
In this paper, two simple digital signal processor (DSP)-based motor fault signature detection techniques are presented. First, the reference frame theory and its applications to fault diagnosis of electric machinery are introduced. Second, phase sensitive detection (PSD) of motor fault signatures is presented. Both techniques provide very simple and robust way to find the magnitude and phase of the specified fault signatures in the line current. Particularly, PSD has a powerful line current noise suppression capability while detecting the fault signatures. Various faults are experimentally tested both offline using the data acquisition system, and online employing the TMS320F2812 DSP to prove the efficacy of the proposed tools. The advantages of these methods include the following: (1) no need to employ external hardware or a PC running a high level program; (2) provides instantaneous fault monitoring using a DSP controller in real time; (3) embedded into the motor drive; thus, readily available drive sensors and the core processor are used without employing additional hardware; (4) no need to store machine currents data, and thus no need for large memory size; (5) very short convergence time capability; (6) immune to non- idealities like sensor dc offsets, imbalance, etc. ; (7) no need for a notch filter to filter out the fundamental harmonic; (8) steady state or stationary current signal assumptions are not necessary; (9) a familiar concept for motor control engineers; and (10) applicable to all multi-phase and single phase motors.
Keywords :
computerised monitoring; condition monitoring; digital signal processing chips; fault diagnosis; motor drives; signal processing equipment; DSP controller; TMS320F2812 DSP; digital signal processor; electric machinery; fault diagnosis; low-cost motor drives; motor control engineer; motor fault signature detection techniques; multiphase motor; phase sensitive detection; real-time condition monitoring tool; short convergence time; single phase motor; stationary current signal; Condition monitoring; Digital signal processing; Digital signal processors; Electrical fault detection; Fault diagnosis; Filters; Hardware; Machinery; Motor drives; Phase detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2
Type :
conf
Filename :
4411947
Link To Document :
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