A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM
نویسندگان
چکیده
منابع مشابه
Research on Fault Diagnosis Technology of Rotating Machinery Based on SVM Method
The occurrence of mechanical failure caused great loss of life and property, the purpose of this paper is to use SVM method to determine the type of mechanical failure, so as to simplify the maintenance process of large equipment. In this paper, we use the nonlinear method of SVM high dimensional space to detect and diagnose the fault. A function is established by using the relationship between...
متن کاملModel Based Fault Diagnosis in Rotating Machinery
A continuing task in engineering is to increase the reliability, availability and safety of technical processes and to achieve these fault diagnosis becomes an advanced supervision tool in the present industries. Vibration in rotating machinery is mostly caused by unbalance, misalignment, shaft crack, mechanical looseness and other malfunctions. The objective of this paper is to propose a model...
متن کاملA Novel Intelligent Fault Diagnosis Approach for Critical Rotating Machinery in the Time-frequency Domain
The rotating machinery is a common class of machinery in the industry. The root cause of faults in the rotating machinery is often faulty rolling element bearings. This paper presents a novel technique using artificial neural network learning for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (harmmean and median), whic...
متن کاملFault Diagnosis for Rotating Machinery: A Method based on Image Processing
Rotating machinery is one of the most typical types of mechanical equipment and plays a significant role in industrial applications. Condition monitoring and fault diagnosis of rotating machinery has gained wide attention for its significance in preventing catastrophic accident and guaranteeing sufficient maintenance. With the development of science and technology, fault diagnosis methods based...
متن کاملRotating Machinery Fault Diagnosis Based on Wavelet Fuzzy Neural Network
According to complicated fault characteristic of rotating machinery, its fault diagnosis based on wavelet fuzzy neural network (WFNN) which combines wavelet packet analysis and fuzzy neural network is put forward. By using it, the fuzzy fault diagnosis of rotating machinery is realized. All the arithmetic process of WFNN is realized through the computer. The results of simulation and test indic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2014
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2014/293878