Study on Development of Diagnosis System of Machines by Using Sound Informations

由于机械系统的大功率化和计算机控制的发展趋势，事故造成的损失更大。因此，希望总是或周期性地诊断机器系统。本研究开发了一套以声音信息代替振动信息的故障诊断系统，用于机械系统的故障诊断和故障恢复。获得了以下主要结果。(1)建立了保持异常声特征的数据库，并限制了原始声波的数据量。(2)通过分析声压、声强和声频谱，得到表征机械系统异常的声参数。(3)稳态和瞬态声场可视化。通过使用三维声强度。(4)采用有源噪声控制或噪声恢复技术，研制了样机的诊断系统。

By the tendency of both high power and the control by computer of the machine system, an accident causes larger extent of damage. It is, therefore, desired to diagnose the machine system always or periodically. In this research, the diagnosis system by using sound informations instead of vibratory informations was developed to diagnose and restore the machine system. The following main results were obtained.(1) The data-base which maintains the characteristics of abnormal sound and furthermore restricts the amount of data with respect to the original sound waves was constructed.(2) By analyzing the sound pressure, acoustic intensity, and sound spectra, the sound parameters which characterize the abnormality of machine system were obtained.(3) The steady state and transient sound fields were visualized. by use of the three dimensional acoustic intensity.(4) By using the active noise control or the restoring technique, the diagnosis system of prototype was developed.