International Journal of Intelligent Engineering and Systems

8

Authors: Qing Yang, Chang Liu, Dongxu Zhang, Dongsheng Wu

A new ensemble algorithm based on K-means clustering and probabilistic neural network called K-meansPNN for classifying the industrial system faults is presented. The proposed technique consists of a preprocessing unit based on K-means clustering and probabilistic neural network. Given a set of data points, firstly the K-means algorithm is used to obtain K-temporary clusters, and then PNN is used to diagnose faults. To validate the performance and effectiveness of the proposed scheme, K-means-PNN is applied to diagnose the faults in TE Process and compared with K-means clustering and back-propagation neural network called K-means-BP, algorithm. Simulation studies show that the proposed K-means-PNN algorithm compared with K-means-BP algorithm not only improves the accuracy in fault classification but also is a reliable and computationally efficient tool.

8

Authors: Mu Li, Wang Xinwei

A laser shaft alignment based on double LD-PSD is designed in this thesis. The mathematic model is built. The mechanical device which fixes the instrument is designedand the hardware circuit is also designed. The laser shaft alignment has strong anti-jamming capacity. It can compensate the soft ground effect and temperature effect. Therefore, it can carry out alignment measurement under various conditions. The prototype test shows the measuring precision, reliability and anti-jamming ability are higher than the likewise products. It can meet the requirement of coaxiality measuring in shafting.