In recent years, inverter controlled rotating machines are becoming major for saving energy and maintenance labor. Up to now many kinds of methods about diagnosing rotating machines are proposed, but most of them are applicable only for machines rotating at constant speed. When rotating speed change, the acceleration signal measured for diagnosis becomes quite different. And applying the reviously proposed methods to invertercontrolled machines is difficult. So, in this paper, the method in which the diagno...
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Automatic Diagnosis Method for Inverter Controlled Rotating Machinery Using DP Matching, Histogram of Frequency Domain and Principal Component Analysis

Abstract : In this research, the performance and efficiency of a centrifugal pump under operation are diagnosed with high precision by measurement of electric current, voltage, flow rate, and pressure. Moreover, mechanical faults (misalignment etc.) and the faults in fluid (cavitation etc.) were diagnosed precisely with the vibration signals, and the reason of efficiency fall was clarified theoretically and experimentally. In this report, we proposed the condition diagnosis method for pump equipment by...
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Condition Diagnosis Method and of Efficiency Trend in Fault State for a Centrifugal Pump

Abstract: Many intelligent diagnosis methods, such as neural networks, genetic algorithms, etc., have been proposed in the field of mechanical fault diagnosis. These methods require a large number of training data and highly sensitive symptom parameters (SPs). However, in many cases of condition diagnosis for rotating machinery, because the training data cannot be easily acquired in a real plant, and SPs are not highly sensitive, the intelligent methods, namely neural networks, genetic algorithms, et...
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Condition Diagnosis Method Based on Symptom Parameters in Time Domain and Support Vector Machine and Application to Diagnose Structural Faults of Rotating Machinery

Rolling bearing is the most part used in rotating machinery of industrial plant. The condition diagnosis technology of rolling bearing is very important and indispensable for the plant safety and operation stability. The purpose o f this study is to improve the accuracy of the life prediction for a rolling bearing. The paper proposes a searchin g method for the optimum mathematic function for the high accurate prediction by using the genetic algorithms (GA)....
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Life Prediction of Rolling Bearing Using Genetic Algorithm

Abstract : This paper presents a precise condition diagnosis method for a centrifugal pump using sequential fuzzy neural network (SFNN). Firstly, the feature signals of fault states are extracted from the measured vibration signals for the pump condition diagnosis in different frequency regions by statistic filter, symptom parameters (SPs) for distinguishing fault types are defined and calculated by using the feature signals. Secondly, to distinguish the pump state, sequential fuzzy neural network (SFN...
英字タイトル:
Precise Diagnosis Method for Centrifugal Pump by Sequential Fuzzy Neural Network