Abstract：The feature vector will be got by using the kurtosis coefficient of time domain signal and the entropy spectral of the frequency domain signal after wavelet packet transformation, and this is defined as DS evidence. The eigenvalues interval through sample statistics will be obtained. The similarity based on the eigenvalues and the length between the intervals of the test sample was designed, and the basic probability assignment function by normalization will be obtained. Then the DS combination rule by spatio-temporal combination of the evidence was got. And the DS diagnosis results by using reliability allocation function can be obtained. Finally, the experiments will be carried out and diagnosis results by using sym8 for three-layer wavelet packet transformation and 9 evidences are received. The experimental results show that the diagnostic accuracy of this method about elevator fault stop is more than 98%.
［1］Tanaka Y. A Friendly Remote Monitoring System［J］. Elevator, 2001, 8(2):89-71.
［2］Liao S H. Expert system methodologies and applications-a decades review from 1995 to 2004［J］. Expert System with Applications, 2005, 28(1):93-103.
［3］Du Y, Wen W, Cao F. A case-based reasoning approach for land use change prediction［J］.Expert Systems With Applications,2010,37(8): 5745-5750.
［4］Castillo E, Morales D P, Botella G, et al. Efficient wavelet-based on ECG processing for single-lead FHR extraction［J］. Digital Single Processing, 2013, 23(6): 1 897-1 909.
［5］罗志增,袁飞龙,高云园.小波和希尔伯特变换在脑电信号消噪中的对比研究［J］.计量学报,2013,34(6):567-572.
［6］戴桂平,刘彬.基于小波去噪和EMD的信号瞬时参数提取［J］.计量学报, 2007, 28(2):158-162.
［7］Zeng D H, Xu J M, Xu G. Data fusion for traffic incident detection using D-S evidence theory with probabilistic SVMs ［J］. Journal of Computers, 2008, 3(10):36-43.
［8］Shoyaib M, Abdullah-Al-Wadud M, Chae O. A skin detection approach based on the Dempster-Shafer theory of evidence［J］.International Journal of Approximate Reasoning, 2012, 53(4): 636-659.
［9］Hua Z S, Gong B G, Xu X Y. A DS-AHP approach for multi-attribute decision making problem with incomplete information［J］.Expert System with Applications, 2008, 34(3): 2221-2227.
［10］Tran L, Duckstein L. Comparison of fuzzy numbers using a fuzzy distance measure［J］. Fuzzy Sets and Symstemsm, 2002, 130 (3): 331-341.
［11］邓勇,韩德强.广义证据理论中的基本概率指派生成方法［J］. 西安交通大学学报,2011,45(2):34-38.
［12］Song H J, Chen L G, Sun F R. Endoreversible heat-engines for maximum power-output with fixed duration and radiative heat-transfer law［J］. Applied Energy, 2007, 84(4):374-388.
［13］Yager R R. Comparing approximate reasoning and probabilistic reasoning using the Dempster-Shafer framework［J］. International Journal of Approximate Reasoning, 2009, 50(5): 812-821.
［14］叶清,吴晓平,郭正东. 基于区间数的DS证据合成方法研究［J］.海军工程大学学报,2009,21(2):1-5,11.
［15］朱可恒.滚动轴承振动信号特征提取及诊断方法研究［D］.大连:大连理工大学,2013.
［16］夏文杰,杨建武,李屹,等. Quasi-Newton BP 神经网络算法在电梯急停故障诊断中的应用［J］.计算机测量与控制,2011,19(1):23-25.
［17］王慧琴.小波分析与应用［M］.北京:北京邮电大学出版社,2011.
［18］朱昌明,孙立新,张晓峰.EN 81-1:1998《电梯制造与安装安全规范》解读［M］.北京:中国标准出版社,2007.
2016, Vol. 37 
