원문정보
초록
영어
Based on the disadvantages of the original LMD algorithm in terms of smoothing method and end effect, this paper puts forward a fault diagnosis method of rotor system based on the improved LMD and singular value decomposition. The PF (Product function) component obtained after applying the improved LMD method is able to separate the aliasing modes while maintaining the natures and features of the original PF component. Thus, the system’s real information can be grasped more effectively. According to the experimental analysis, this method can be applied to fault diagnosis of rotor system effectively.
목차
Abstract
1. Introduction
2. The Rotor System Fault and Its Diagnosis
2.1. Common Rotor System Fault Types
2.2. Rotor System Fault Diagnosis Methods
3. Rotor System Fault Diagnosis based on Improved LMD and Singular Value Decomposition
3.1. Local Mean Decomposition Method and its Disadvantages
3.2. The Improved LMD Method
3.3. Singular Value Decomposition
3.4. Improved Rotor System Fault Diagnosis Method
4. Experimental Simulation Analysis
5. Conclusions
References
1. Introduction
2. The Rotor System Fault and Its Diagnosis
2.1. Common Rotor System Fault Types
2.2. Rotor System Fault Diagnosis Methods
3. Rotor System Fault Diagnosis based on Improved LMD and Singular Value Decomposition
3.1. Local Mean Decomposition Method and its Disadvantages
3.2. The Improved LMD Method
3.3. Singular Value Decomposition
3.4. Improved Rotor System Fault Diagnosis Method
4. Experimental Simulation Analysis
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보