ADAPTIVE DYNAMIC CLONE SELECTION NEURAL NETWORK ALGORITHM FOR MOTOR FAULT DIAGNOSIS
نویسندگان
چکیده
منابع مشابه
Neural-network-based motor rolling bearing fault diagnosis
Motor systems are very important in modern society. They convert almost 60% of the electricity produced in the U.S. into other forms of energy to provide power to other equipment. In the performance of all motor systems, bearings play an important role. Many problems arising in motor operations are linked to bearing faults. In many cases, the accuracy of the instruments and devices used to moni...
متن کاملFan Improved Algorithm of BP Neural Network Fault Diagnosis Research
According to the structure of the BP neural network and the algorithm, choose three methods of BP neural network algorithm was improved, through analysis and comparison, computing speed is faster, more accurate judgment Levenberg Marquardt algorithm as the improved algorithm of optimal; Using the algorithm to the established BP neural network for training analysis; Then use the Matlab software,...
متن کاملGenetic Algorithm Based Discriminant Feature Selection for Improved Fault Diagnosis of Induction Motor
Corresponding author. Abstract In this paper, we present an efficient model for reliable fault diagnosis of the induction motor. This is now a growing demand for high classification accuracy in fault diagnosis. However, the system performance is highly dependable on superior feature analysis. But, it’s still crucial and computational complex to select discernment features, thus, a new genetic a...
متن کاملRecurrent neural network for dynamic portfolio selection
In this paper, the dynamic portfolio selection problem is considered. The Elman network is first designed to simulate the dynamic security behavior. Then, the dynamic covariance matrix is estimated by the cross-covariance matrices. Finally, the dynamic portfolio selection model is formulated. In addition, a numerical example is used to demonstrate the proposedmethod and compare with the vector ...
متن کاملFault Diagnosis for Motor Based on Emd Algorithm
Nowadays motor is the most widely used power supply equipment and drive. In order to ensure the reliable operation of the motor, it is necessary to analyze the fault mechanism of motor equipment and to do some research on the relevant technology about fault diagnosis. The motor diagnostic method based on signal processing is the way that relies on modern signal processing technology to extract ...
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: International Journal on Smart Sensing and Intelligent Systems
سال: 2013
ISSN: 1178-5608
DOI: 10.21307/ijssis-2017-551