Add to ORKGThe paper introduces an intelligent fault diagnosis system for new assembly transmission. Order analysis method is used to analysis and process vibration signal of automotive transmission. After the initial set of feature vectors is obtained, improved genetic search strategy is used to select feature, so as to reduce the dimension of feature vector set, and feature vector sets selected are input into the BP neural network for fault identification and classification of assembly transmission. A large number of data are collected from industrial site and analyzed, validity and accuracy of proposed algorithm is verified
The data from machinery health monitoring contains high noise components and low information content...
[[abstract]]This paper describes a fault diagnosis system for mechanical reducer gear-sets using Wig...
This paper presents an approach of intelligent fault classification of induction motor bearing (IMB...
The paper introduces an intelligent fault diagnosis system for new assembly transmission. Order anal...
Newly assembled automobile transmission has its particular failure characteristic, strict quality te...
AbstractIn the vehicle's traditional fault diagnose system, we usually use a computer system with a ...
Traditional manufacturing process fault monitoring and detection methodologies have been based on St...
The paper focuses on the application of artificial intelligent techniques in fault detection and dia...
Abstract-- Gears are a vital element considering its applications in a variety of machine tool appli...
The automobile fault diagnosis system is specifically built for identifying, characterizing, and ana...
This paper presents an expert system for induction motor fault detection based on vibration analysis...
[[abstract]]An expert system for fault diagnosis in internal combustion engines using adaptive order...
[[abstract]]In the present study, a fault diagnosis system using acoustic emission with an adaptive ...
According to the requirements of quality inspecting for the transmission, this paper proposed an imp...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
The data from machinery health monitoring contains high noise components and low information content...
[[abstract]]This paper describes a fault diagnosis system for mechanical reducer gear-sets using Wig...
This paper presents an approach of intelligent fault classification of induction motor bearing (IMB...
The paper introduces an intelligent fault diagnosis system for new assembly transmission. Order anal...
Newly assembled automobile transmission has its particular failure characteristic, strict quality te...
AbstractIn the vehicle's traditional fault diagnose system, we usually use a computer system with a ...
Traditional manufacturing process fault monitoring and detection methodologies have been based on St...
The paper focuses on the application of artificial intelligent techniques in fault detection and dia...
Abstract-- Gears are a vital element considering its applications in a variety of machine tool appli...
The automobile fault diagnosis system is specifically built for identifying, characterizing, and ana...
This paper presents an expert system for induction motor fault detection based on vibration analysis...
[[abstract]]An expert system for fault diagnosis in internal combustion engines using adaptive order...
[[abstract]]In the present study, a fault diagnosis system using acoustic emission with an adaptive ...
According to the requirements of quality inspecting for the transmission, this paper proposed an imp...
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect beari...
The data from machinery health monitoring contains high noise components and low information content...
[[abstract]]This paper describes a fault diagnosis system for mechanical reducer gear-sets using Wig...
This paper presents an approach of intelligent fault classification of induction motor bearing (IMB...