Study of Remote Fault Diagnosis System to Wind Generator Gearbox Based on DSP

Hong Xia Pan; Yang Gao

doi:10.4028/www.scientific.net/AMR.566.568

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 566Study of Remote Fault Diagnosis System to Wind...

Study of Remote Fault Diagnosis System to Wind Generator Gearbox Based on DSP

Abstract:

In order to meet the wind generator gearbox remote condition monitoring and fault diagnosis requirements, using TI's C2000 series DSP-TMS320F2812 processor as its core, the wind generator gearbox remote fault diagnosis system was designed, in this paper. The use of TMS320F2812-rich peripheral modules to build the system's hardware architecture, including the analog signals, frequency signals, digital signal data acquisition, and has Ethernet, GSM mobile communications. For wind generator gearbox bearings and gears common faults, using FIR digital filter, FFT Fourier transform, cepstrum, detailed spectral analysis and other methods to extract the fault characteristic information. The combination of extracted feature vectors, input to BP neural network trained for fault classification and identification, derived fault type, location and extent. Tests show that the system can go a long on-line monitoring, and can correctly identify the fault. It has small size, multi-functional, practical and strong features, particularly suitable for wind generator remote on-line monitoring and fault diagnosis.

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Periodical:

Advanced Materials Research (Volume 566)

Pages:

568-571

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.566.568

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Online since:

September 2012

Authors:

Hong Xia Pan, Yang Gao

Keywords:

Data Acquisition, Digital Signal Processor (DSP), Fault Diagnosis, Remote Monitoring, TMS320F2812

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