Health State Monitoring of Bladed Machinery with Crack Growth Detection in BFG Power Plant Using an Active Frequency Shift Spectral Correction Method

Materials

Weifang Sun¹  Yuchao He¹  Nianyin Zeng¹  Binqiang Chen¹  Bin Yao¹  Wangpeng He² 

[1] Institute of Intelligent Equipment and Smart Manufacturing, School of Aerospace Engineering, Xiamen University, Xiamen 361005, China;School of Aerospace Science and Technology, Xi’an 710075, China;

关键词: structural health monitoring;    crack detection;    power plant;    blast furnace gas;    centrifugal compressor;    bladed machinery;    spectral correction;   

DOI  :  10.3390/ma10080925

来源: DOAJ

【 摘 要 】

Power generation using waste-gas is an effective and green way to reduce the emission of the harmful blast furnace gas (BFG) in pig-iron producing industry. Condition monitoring of mechanical structures in the BFG power plant is of vital importance to guarantee their safety and efficient operations. In this paper, we describe the detection of crack growth of bladed machinery in the BFG power plant via vibration measurement combined with an enhanced spectral correction technique. This technique enables high-precision identification of amplitude, frequency, and phase information (the harmonic information) belonging to deterministic harmonic components within the vibration signals. Rather than deriving all harmonic information using neighboring spectral bins in the fast Fourier transform spectrum, this proposed active frequency shift spectral correction method makes use of some interpolated Fourier spectral bins and has a better noise-resisting capacity. We demonstrate that the identified harmonic information via the proposed method is of suppressed numerical error when the same level of noises is presented in the vibration signal, even in comparison with a Hanning-window-based correction method. With the proposed method, we investigated vibration signals collected from a centrifugal compressor. Spectral information of harmonic tones, related to the fundamental working frequency of the centrifugal compressor, is corrected. The extracted spectral information indicates the ongoing development of an impeller blade crack that occurred in the centrifugal compressor. This method proves to be a promising alternative to identify blade cracks at early stages.

【 授权许可】

Unknown