This study reports the development of automatic condition monitoring techniques and system. The techniques and the system have been developed to test industrial motors by their sound signals. In this study, several kinds of defects in motor can be detected using monitoring techniques. The programs make possible to compute diagnostic algorithm and to practice judgments correctly. This new condition monitoring method will be tested in some plant s and will be also applied to preventive maintenance for not on...
英字タイトル:
Monitoring of Rotating Machine in Plants

A dynamic monitoring system for bearings has been developed. The defects of bearings in motors can be detected and classified into some groups from their vibration signals by an accelerometer screwed on the monitored bearings using the dynamic monitoring system. The abnormality of the bearings is judged from many factors such as the peak value, the root mean square value and the ratio of peak to root mean square value. And then, the grade of its abnormality is diagnosed how heavy the defect is, when t...
英字タイトル:
Dynamic Monitoring for Bearings of Rotating Machines in Plant

This study discusses a practical application of diagnostic signature analysis to testing machine plant. The specific　features　of　acoustic signal from rotating machines are caught by diagnostic signal analysis.　As a result, the automated inspection and diagnosis of the rotating states of motors have become possible. For the diagnostic technique composed of signal averaging and normalization method is used. The statistical classifications using a characteristic function and an estimated function have p...
英字タイトル:
Practical Application on Diagnostic Analysis to Testing Machines By Observing Noise Signals in Plants