Abstract: When multi-faults state occurred in a plant rotating machine, because the relationship between fault types and vibration signals measured for the diagnosis are much more complex than the case of single fault, moreover, the condition diagnosis information from vibration signals is ambiguous, especially at early stage, the diagnosis for the multi-faults is more difficult. In order to resolve the problem, this paper proposes a new precise diagnosis method for rotating machinery using support ve...
英字タイトル:
Sequential Diagnosis Method for Multi-faults State of Rotating Machinery Using Fuzzy Support Vector Machine

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...
英字タイトル:
Condition Diagnosis Method and of Efficiency Trend in Fault State for a Centrifugal Pump

Abstract : Structural faults are often occurring in a rotating machine, such as, u nbalance, misalignment and looseness etc., and their feature spectra of vibration signal appear in the low frequency area. The precise diagnosis for the structural faults type is difficult in the real plant, because of the noise in the vibratio n signal and the complex structure of the plant machine. In this study, we propose d the precise diagnosis method of structural fault for rotating machinery using en veloped wave spec...
英字タイトル:
Precise Diagnosis Method of Structural Fault for Rotating Machinery Using Enveloped Wave Spectra, Signal Fusion and LSM Principal Component Analysis

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...
英字タイトル:
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)....
英字タイトル:
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