中国工程科学2011，Vol.13Issue(10)：83-92,10.
自适应多小波基函数构造与机械故障诊断应用研究
Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis
摘要
Abstract
The faults initiated in operation (I. E. Incipient fault) with the obscure symptoms and weak features , are always contaminated by a large amount of background noise. Hence, fault diagnosis and prognosis of incipient faults have been the difficulty and focus of the research field. The paper studied the principle of inner product transform of dynamic signals and basis functions, proposed several construction methods of adaptive multiwave-let basis functions, and improved several multiwavelet denoising methods with neighborhood and local threshold. The typical engineering cases of the equipment of heavy oil catalytic cracking, the continuous casting and rolling mills, the air compressor, the electric locomotive and the transmission device of satellite comunication on ship were studied, and the results showed the effectiveness of enhancement of weak dynamic signals and features extraction of compound faults.关键词
机械故障诊断/内积变换原理/自适应基函数/多小波降噪/故障特征提取Key words
mechanical fault diagnosis/ principle of inner product transform/ adaptive basis function/ multiwavelet denoising/ fault feature extraction分类
机械制造引用本文复制引用
何正嘉,孙海亮,訾艳阳..自适应多小波基函数构造与机械故障诊断应用研究[J].中国工程科学,2011,13(10):83-92,10.基金项目
国家自然科学基金重点项目(51035007) （51035007）
国家重点基础研究发展计划973项目(2009CB724405) （2009CB724405）
教育部博士点基金资助(200806980011) （200806980011）
