Acoustic Emission Signal Feature Extraction in Rotor Crack Fault Diagnosis
نویسندگان
چکیده
On the rotor comprehensive fault simulation testbed, characteristics of acoustic emission signal of different crack rotors in various depth and conditions are analyzed by the acoustic emission extraction experiment. The noiseeliminating method of the acoustic emission signal was researched by the wavelet packet technique, the characteristics of acoustic emission signal of the rotor crack was also obtained for fault diagnosis in this paper. The advantages of acoustic emission technique have been highlighted in the early period crack fault diagnosis compared to the vibration method of crack fault diagnosis. The diagnosis results were shown to be quite clear, reliable
منابع مشابه
Variable Speed Wind Turbine DFIG Back to Back Converters Open-Circuit Fault Diagnosis by Using of Combiniation Signal-Based and Model-Based Methodes
Condition monitoring (CM) and Fault Detection (FD) of wind turbine lead to increase in reliability and availability of turbine. IGBT open circuit of wind turbine converter will bring about depletion in output current of converter and as a result, reduction in production of wind turbine power. In this research, back to back converter IGBT open - gate fault for wind turbine based on DFIG is detec...
متن کاملThe Application of AE Signal in Early Cracked Rotor Fault Diagnosis with PWVD and SVM
To further enhance the early diagnose precision and efficiency for rotor crack under condition of strongly noise, AE signals is applied to extract fault feature of early rotor cracks with the advantages of strong anti-noise ability, clear fault feature. Based on the Pseudo Wigner-Ville Distribution (PWVD), the amplitude and frequency as feature vector are extracted from the AE signal in this pa...
متن کاملRotor Crack Detection by Using Multi-vibration Signal from The Basement
Rotor crack detection method by using multi-vibration signals gathered at the basements is presented in this paper. The finite element software ANSYS is applied for analyzing the vibration response characteristics of the basement to determine sensor configuration. Feature fusion for time-domain statistics of multiple sensors is performed by using the support vector machine to diagnose the depth...
متن کاملSVM Optimization based on BFA and its Application in AE Rotor Crack Fault Diagnosis
According to the fact that parameter selection of support vector machine(SVM) for fault diagnosis is difficult, a new method based on bacterial foraging algorithm(BAF) for support vector machine parameter optimization was proposed , then the faster optimization of the parameters C and RBF kernel parameter γ was performed. The crack rotor as the experiment object, firstly, AE signal of rotors wi...
متن کاملFault Diagnosis of Low Speed Bearing Based on Acoustic Emission Signal and Multi-class Relevance Vector Machine
This study presents fault diagnosis of low speed bearing using multi-class relevance vector machine (RVM) and support vector machine (SVM). A low speed test rig was developed to simulate various defects with shaft speeds as low as 10 rpm under several loading conditions. The data was acquired from the low speed bearing test rig using two acoustic emission (AE) sensors under constant loading (5 ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- JCP
دوره 7 شماره
صفحات -
تاریخ انتشار 2012