Study of Health Monitoring System of Machines by Using Wavelet Transform

利用小波变换的机器健康监测系统研究

• 批准号: 07455103
• 负责人: YAMAMOTO Shizuo
• 金额: $ 0.77万
• 依托单位: Kyoto Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1996
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07455103/
• 关键词: Signal Proceesing; Wavelet Transform; Orthonormal Wavelet; Singularity; Health Monitoring; Sound Field; 音場解析

It is very important to estimate the damage rate of machines under the verious dynamic loading from the point of view of guranteeing their safety and developing the scheme of their maintenance. In this study, the health monitoring system to monitor the damage of machines is investigated to assure the safety of machines. The wavelet transform is applied to the analyzed responses of machines and its feasibility is confirmed. The results obtained from this research are summarizeda as follows. (1) Simultaneous analysis of waves propagating through multilayred media consisting of gas and solid fields is done by using the boundary element method. Through this analysis, the location of abnormal signal for machines is identified by using the wavelet transform of responses. (2) The orthonormal wavelet with large N for Daubechies wavelet can give the good estimation for the occurrence time of abnormal signal under the noisy condition. (3) In case of estimating number entering into plastic region by wavelet analysis, Meyer's wavelets are most reasonable among three types of analyzing wavelets. Moreover, as the change of hysteretic restoring force of system becomes large, number entering into plastic region can be estimated remarkablely.

从保证机械安全、制定机械维修方案的角度出发，对机械在各种动载荷作用下的损伤率进行估算具有重要意义。为了保证机器的安全运行，本文研究了一种健康监测系统来监测机器的损坏情况。将小波变换应用于机械响应分析，验证了小波变换的可行性。现将本研究所得结果总结如下。(1)采用边界元法对由气场和固场组成的多层介质中传播的波进行了同步分析。通过分析，利用响应的小波变换对机器异常信号进行定位。(2)大N的正交小波对有噪声条件下异常信号的发生时间有较好的估计。(3)在用小波分析估计进入塑性区域的数量时，Meyer小波是三种分析小波中最合理的。此外，当系统的滞回恢复力变化较大时，进入塑性区的数量可显著估计出来。

项目成果

Akira Sone: "Health Monitoring System of Machines and Structures by Wavelet Transform (Generation of Orthonormal Bases of Wavelets and Detection of Abnormal Signals Generated at Random Intervals)" Transactions of the Japan Society of Mechanical Engineers.

Akira Sone：“通过小波变换实现机器和结构的健康监测系统（小波正交基的生成和随机间隔生成的异常信号的检测）”日本机械工程师学会会刊。

曽根彰: "ウェーブレット変換を用いた機械・構造物のヘルスモニタリングシステム(正規直交ウェーブレットの生成と断続的異常信号の検出)" 日本機械学会論文集C. 61-586. 2340-2346 (1995)

Akira Sone：“使用小波变换的机器和结构的健康监测系统（正交小波的生成和间歇性异常信号的检测）”日本机械工程师学会汇刊 C. 61-586 (1995)。

Akira Sone: "Estimation of cumulative Damage of Building with Hysteretic Restoring Force by Uisng Wavelet Analysis of Strong Response Records" Journal of Struct, Constr.Eng.AIJ. 476. 67-74 (1995)

Akira Sone：“利用强响应记录的小波分析估计具有迟滞恢复力的建筑物的累积损坏”《结构杂志》，Constr.Eng.AIJ。

曽根彰: "強震記録のウェーブレット解析による履歴復元特性を有する建築物の累積損傷の推定" 日本建築学会構造系論文集. 476. 67-74 (1995)

Akira Sone：“通过强地震记录的小波分析来估计具有历史恢复特征的建筑物的累积损坏”，日本建筑学会结构工程学报，476. 67-74 (1995)。

曽根彰: "ウェーブレット変換を用いた機械・構造物のヘルスモニタリングシステム(正規直交ウェーブレットの生成と断続的異常信号の検出)" 日本機械学会論文集(C). 61. 2340-2346 (1995)

Akira Sone：“使用小波变换的机器和结构的健康监测系统（正交小波的生成和间歇性异常信号的检测）”日本机械工程师学会会刊（C）61。2340-2346（1995）。