Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm

Tianyang Wang; Fulei Chu; Qinkai Han

doi:10.1016/j.isatra.2016.11.008

Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm

ISA Trans. 2017 Mar:67:173-182. doi: 10.1016/j.isatra.2016.11.008. Epub 2016 Nov 25.

Authors

Tianyang Wang¹, Fulei Chu², Qinkai Han¹

Affiliations

¹ Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
² Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China. Electronic address: chufl@mail.tsinghua.edu.cn.

PMID: 27894699
DOI: 10.1016/j.isatra.2016.11.008

Abstract

Identifying the differences between the spectra or envelope spectra of a faulty signal and a healthy baseline signal is an efficient planetary gearbox local fault detection strategy. However, causes other than local faults can also generate the characteristic frequency of a ring gear fault; this may further affect the detection of a local fault. To address this issue, a new filtering algorithm based on the meshing resonance phenomenon is proposed. In detail, the raw signal is first decomposed into different frequency bands and levels. Then, a new meshing index and an MRgram are constructed to determine which bands belong to the meshing resonance frequency band. Furthermore, an optimal filter band is selected from this MRgram. Finally, the ring gear fault can be detected according to the envelope spectrum of the band-pass filtering result.

Keywords: Fault diagnosis; Meshing resonance; Planetary gearbox; Ring gear; Wind turbine.