Title :
Fault detection and experiment research of remanufacturing automatic transmission based on BP neural network
Author :
Lin, Qiong ; Dai, Zhong-hao ; Meng, Bin
Author_Institution :
Coll. of Mech. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
Detection and reliability of remanufacturing automatic transmission is an important step in the remanufacturing process, the article draws attention to the vibration detection system based on BP neural network By means of extracting the time-domain characteristic data which are taken as inputs for neural network training, a new detection of remanufacturing is realized. Based on an example of the remanufacturing F4A42 transmission, the study suggests that the system can identify the operation status. The result shows that the system is effective and feasible.
Keywords :
backpropagation; fault tolerance; neural nets; power transmission (mechanical); production engineering computing; recycling; reliability; vibrations; BP neural network; F4A42 transmission; backpropagation; fault detection; neural network training; reliability; remanufacturing automatic transmission; remanufacturing detection; remanufacturing process; time-domain characteristic data; vibration detection system; Educational institutions; Fault detection; Feature extraction; MATLAB; Time domain analysis; Training; Vibrations; automatic transmission; neural network; remanufacturing; vibration detection;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057130