A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis
نویسندگان
چکیده
منابع مشابه
Model 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 کاملResearch 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 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 کاملA DSP-based FFT-analyzer for the fault diagnosis of rotating machine based on vibration analysis
A DSP-based measurement system dedicated to the vibration analysis on rotating machines was designed and realized. Vibration signals are on-line acquired and processed to obtain a continuos monitoring of the machine status. In case of fault, the system is capable of isolating the fault with a high reliability. The paper describes in detail the approach followed to built up fault and unfault mod...
متن کاملFault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. Vibration sensor signals collected from rotating mechanical systems are represente...
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: Shock and Vibration
سال: 2019
ISSN: 1070-9622,1875-9203
DOI: 10.1155/2019/1908485