作者机构：
[李必文; 张春良] School of Nuclear Science and Technology, University of South China, Hengyang 421001, China;[张春良; 金坤文; 李必文] School of Mechanical Engineering, University of South China, Hengyang 421001, China
通讯机构：
[Zhang, C.-L.] S;School of Nuclear Science and Technology, , Hengyang 421001, China
会议名称：
2014 2nd International Conference on Teaching and Computational Science(ICTCS 2014)
会议时间：
2014-07-29
会议地点：
Shenzhen,China
关键词：
Intranet/Extranet;wireless broadband;quality system
摘要：
Comparison of wireless broadband and cable network is analyzed firstly,and models of distributed quality system under the condition of wireless network are put forward,and core technologies are discus
会议名称：
2012 International Conference on Materials Science and Nanotechnology, ICMSN 2012
会议时间：
16 November 2012 through 18 November 2012
会议地点：
Guangzhou
会议主办单位：
[Zhang, Chunliang;Fu, Baixiang] Guangzhou Univ, Sch Mechn & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China.^[Xiong, Yuehua] Univ South China, Sch Mech Engn, Hengyang 421001, Peoples R China.
会议论文集名称：
Key Engineering Materials
关键词：
Electric control equipment;Fuzzy control;MATLAB;Nanotechnology;Pressure control;Proportional control systems;Three term control systems;Control precision;Conventional pid;Dynamic performance;Fuzzy - pid controls;Fuzzy PID controller;Fuzzy-PID;Machine parameters;Simulation;Controllers
作者机构：
[Li, Sheng; Hu, Liangbin] Univ South China, Sch Mech Engn, Hengyang 421001, Peoples R China.;[Zhang, Chun-liang] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou, Guangdong 510006, Peoples R China.
通讯机构：
[Li, Sheng] U;Univ South China, Sch Mech Engn, Hengyang 421001, Peoples R China.
会议地点：
广州
会议主办单位：
[Li, Sheng;Hu, Liangbin] Univ South China, Sch Mech Engn, Hengyang 421001, Peoples R China.^[Zhang, Chun-liang] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou, Guangdong 510006, Peoples R China.
会议论文集名称：
the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))论文集
关键词：
Fault diagnosis;Support Vector Machine;Hidden Markov model;Data Fusion;Fisher's Discriminant Ratio
摘要：
To effectively avoid the loss of useful information, in this paper, we extract feature information from the fault signal of rotating machinery in different aspects such as amplitude-domain, time-domain and time-frequency domain. Then for the multi-dimensional feature extraction is prone to the problem of “dimension disaster”, introduce the principles of FDR in data mining to determine the classification ability of each individual feature, and introduce the cross correlation coefficient to solve the problem that dealing with individual feature neglects the interrelationship between the features, and construct a new feature level data fusion algorithm. Finally, According to the characteristics of the HMM (Hidden Markov model), SVM (Support Vector Machine) and its hybrid model, we construct a new decision-level data fusion model.
摘要：
As the constantly growth of embedded Technology, embedded products put into use in almost everywhere around our life. This paper mainly introduce how to set up the Qt/Embedded Cross-compiling environment in Linux system platform, and the development and transplant of embedded fault diagnosis system use development tools of Qt/Embedded. This system achieve those functions, including fault display, signal analysis, diagnostic model training and data storage or transmittal, by graphical interfaces designing and performance function addition. And finally create the application document which applies to ARM framework embedded processor by Cross-compiling. In the end, the application document is transplanted and run in the target platform, and testing the diagnosis effects.
会议论文集名称：
2011 International Conference on Mechatronics and Materials Processing(2011年机电一体化与材料加工国际会议 ICMMP)论文集
关键词：
B/S structure;Fault diagnosis;Database
摘要：
The feasibility and superiority of the remote fault diagnosis system based on B/S structure is analyzed in this paper. The B/S structure is introduced and compared with C/S structure briefly. The paper summarize frame and main function module of the remote fault diagnosis system and introduce its key technology, such as data acquisition technology, data transmission technology between server and client, intelligent diagnosis technology, database technology etc. The hybrid model of support vector machine (SVM) and hidden markov models(HMM) is used as a intelligent diagnosis method of the system, and a new design which could improve the integrity and privacy of the system database data is applied. According to the diagnostic results to all kinds of simulated faults in the Bently vibration test bed, it shows the system is not only stable, reliable and high accuracy, but also has a certain application value to engineering.
作者机构：
[Yue, X.] S China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China.;[Zhang, C. L.; Zhu, H. Y.] Guangzhou Univ, Sch Mech & Elect Engineer, Guangzhou, Peoples R China.;[Li, J.] Univ South China, Sch Mech Engn, Hengyang, Peoples R China.
通讯机构：
[Yue, X.] S;S China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China.
会议名称：
4th International Conference on High Speed Machining, ICHSM2010
会议时间：
9 October 2010 through 10 October 2010
会议地点：
武汉
会议主办单位：
[Yue, X.] S China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China.^[Zhang, C. L.;Zhu, H. Y.] Guangzhou Univ, Sch Mech & Elect Engineer, Guangzhou, Peoples R China.^[Li, J.] Univ South China, Sch Mech Engn, Hengyang, Peoples R China.
会议论文集名称：
The 4th International Conference on High Speed Machining(第四届高速加工国际会议 ICHSM'2010)论文集
关键词：
Fault diagnosis;Pump;HMM;SVM;Hybrid model
摘要：
A hybrid support vector machine (SVM) and hidden Markov model (HMM) model was introduced into the fault diagnosis of pump. This model had double layers: the first layer used HMM to classify preliminarily in order to get the coverage of possible faults; the second layer utilized this information to activate the corresponding SVMs for improving the recognition accuracy. The structure of this hybrid model was clear and feasible. Especially the model had the potential of large-scale multiclass application in fault diagnosis because of its good scalability. The recognition experiments of 26 statuses on the ZLH600-2 pump showed that the recognition capability of this model was sound in multiclass problems. The recognition rate of one bearing eccentricity increased from SVM's 84.42% to 89.61% while the average recognition rate of hybrid model reached 95.05%. Although some goals while model constructed did not be fully realized, this model was still very good in practical applications.
通讯机构：
[Tang, Yonghui] U;Univ South China, Sch Mech Engn, Hengyang 421001, Hunan, Peoples R China.
会议地点：
Guangzhou, PEOPLES R CHINA
会议主办单位：
[Tang, Yonghui;Lin, Guoxiang] Univ South China, Sch Mech Engn, Hengyang 421001, Hunan, Peoples R China.^[Zhang, Chunliang] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China.
会议论文集名称：
Advanced Materials Research
关键词：
Condition Monitoring;Short Time Fourier Transform (STFT);Roller;Hidden Markov Model (HMM)
摘要：
A kind of signal build mould and identification tool for roller of rolling mill was discussed. Basic algorithm of Hidden Markov model (HMM) theory was presented. For ψ500×2 shrewd roller of rolling mill, the paper led Short-time Fourier transform (STFT) into draw the feature of roller signal and chose Continues Gaussian Hidden Markov Model (CGHMM) to build and identify mould. The experiment installation major included: ψ500×2 shrewd rollers and roller performance test control work of rolling mill control machine as well as a set of online state inspection system. The experiment data was collected by two kinds: roller rotational speed from low to high and from high to low. The experiment shows that this system has better identification rate, and proves that this system is effective.
摘要：
Forestry industry is an important part of nation's economy. In this paper, a machine vision system is presented as a key module of Camellia oleifera pluck robot. In order to cut fruit image up from complicate background, SOFM neural network and gray thresh is used in image segmentation. In SOFM method, take R-B,G-R,G-B and hue H tunnel as input feature vectors, use self-organization network to clustering can get the best effect. in gray threshold method can take various of method to get the best threshold, such as PSO and GA algorithm, and MATLAB includes the toolboxes. At last use noise ratio, area ratio, divided time, Fourier boundary descriptors and other indicators to assess the accuracy of segmentation. The methods have the significance to the current and subsequent research of forestry pluck device.
通讯机构：
[Ouyang, Basheng] U;Univ S China, Sch Mech Engn, Hengyang 421001, Hunan, Peoples R China.
会议名称：
2010 International Conference on Manufacturing Engineering and Automation, ICMEA2010
会议时间：
7 December 2010 through 9 December 2010
会议地点：
Guangzhou, PEOPLES R CHINA
会议主办单位：
[Ouyang, Basheng;Lin, Guoxiang] Univ S China, Sch Mech Engn, Hengyang 421001, Hunan, Peoples R China.^[Zhang, Chunliang] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China.
会议论文集名称：
Advanced Materials Research
关键词：
Cycloid-arc profile;Hob cutter for hobbing;Screw compressor rotors
摘要：
The profile of cycloid-arc screw compressor rotors is not a smooth profile, and it has a tip on it. When designing the hob cutter is used for machining this kind of rotors, the profile of hob edge will appear separation. In this paper, the design theory of hob cutter for hobbing the no-symmetric cycloid-arc rotor with tip profile is researched, and the best way for design this kind of hob cutter with a separate edge is attained according to practical design, manufacture and test. Its results are shown that it is good practice to design the hob cutter and hob the cycloid-arc rotor. Thus, the machining method for hobbing screw compressor can enhance high productivity and machining accuracy.
