Title :
Notice of Retraction
Research on measuring point configuration based on particle swarm optimization technology in fault diagnosis
Author :
Cao Feng-cai ; Wei Xiuye
Author_Institution :
Sch. of Inf. & Commun. Eng., North Univ. of China, Taiyuan, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In view of complex dynamics system like the vehicles gear gearbox, it established the structure in the diversity drive and the diversity response transmission characteristic model. After considered the actual situation that the internal vibration signal of various parts arrived at the box body surface and folds mutually put together through the different transmission way, it proposed the essential method that it solved failure detection the sensor optimal and the measuring point disposition question with particle swarm optimizes algorithm. Analyzed and transmitted characteristic parameter optimization of the measuring point through various measuring points´ test, it not only has given the basic optimal principle of measuring point arrangement, but also has proved that sensor and measuring point optimization disposition is feasible basing on the particle swarm optimization techniques.
Keywords :
automotive engineering; condition monitoring; gears; mechanical variables measurement; particle swarm optimisation; vibrations; characteristic parameter optimization; diversity drive structure; diversity response transmission model; fault diagnosis; internal vibration signal; measuring point configuration; particle swarm optimization; vehicles gear gearbox; Argon; Biological system modeling; Deformable models; Optimization; Artificial intelligence; Failure diagnosis; Grain of subgroup optimizes; Measuring point optimization;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
DOI :
10.1109/ICCASM.2010.5622515