Fault Diagnostic System for Chillers Based on Characteristic Petri Net Modeling

Abstract

Abstract:

Abstract： The chillers are important in air-conditioning systems, whose operational status is directly related to the HVAC system performance and stability buildings. The fault diagnose of chillers has received wide attention.This paper discussed characteristic modeling technology in fault diagnosis for chillers with fuzzy Petri net modling technique.Using fuzzy Petri net to represente knowledge and inference algorithm for matrix operations, the characteristic parameters of chiller fault indication and relationships was discribed. Using the proposed diagnostic systems, the information resources of characteristic parameters can be used for fault diagnosis and the chiller efficiency indexes of COP can be used for comprehensive diagnosis of fault diagnosis. The test results of plant running show the feasibility and accuracy of the fault diagnostic system.

Key words: fault diagnosis, characteristic modeling, Petri net, chillers

CLC Number:

TM 855.411

XU Bing1,2,ZHU Yacheng2,SU Jun2，FAN Qiumin2. Fault Diagnostic System for Chillers Based on Characteristic Petri Net Modeling[J]. Journal of Shanghai Jiaotong University, 2015, 49(06): 923-928.

References

［1］吴宏鑫,胡军,解永春.基于特征模型的智能自适应控制［M］.北京:中国科学技术出版社，2008:15.

［2］韩玲.基于人工神经网络模型的螺杆式冷水机组故障诊断研究［D］.重庆：重庆大学能源工程学院,2008.

［3］张霞.基于小波包分析的单螺杆冷水机组故障诊断技术的研究［D］.重庆：重庆大学能源工程学院,2011.

［4］郑超瑜,肖赋,陈武.冷水机组故障诊断新模型［J］.建筑科学,2012,3(5):4954.

ZHENG Chaoyu, XIAO Fu, CHEN Wu. New reference models for fault detection and diagnose in water chillers ［J］.Building Science, 2012, 28(12): 4954.

［5］郑洁,杨朝杰,周玉礼,等.螺杆式冷水机组的故障模拟及诊断软件的研究［J］.建筑热能通风空调,2005,24(6): 34.

ZHENG Jie, YANG Chaojie, ZHOU Yuli, et al. Research on fault simulation and diagnosis software of screw chiller ［J］. Building Energy & Environment, 2005, 24(6):34.

［6］冯国强.冷水机组COP现场测量的不确定度评定与分析［J］.广东建材,2012，28(8): 2830.

FENG Guoqiang. Chiller COP field evaluation of uncertainty of measurement and analysis ［J］. Guangdong Building Materials, 2012, 28(8): 2830.

［7］杨宝君.基于Petri网的地铁冷水机组控制建模［J］.机械与电子,2008, 12(12): 46.

YANG Baojun. Modeling of water chiller in metro system based on Petri net ［J］. Mechanical & Electronic, 2008, 12(12): 46.

［8］GB 500952003,采暖通风与空气调节设计规范［S］.

［9］李明华.基于多Agent及Petri网的变压器故障诊断系统［J］.西安交通大学学报,2006, 40(2): 224227.

LI Minghua. The power transformer fault diagnosis system based on MuiltAgent and Petri net ［J］. Journal of Xi’an Jiaotong University, 2006, 40(2): 224227.

［10］Chen Yufeng, Li Zhiwu, Barkaoui K, et al. New Petri net structure and its application to optimal supervisory control: Interval inhibitor arcs ［J］. IEEE Transactions on Systems Man and Cybernetics Systems, 2014, 44(10): 13841400.

［11］Wang Y N, Ye J F, Xu G J, et al. Novel hierarchical fault diagnosis approach for smart power grid with information fusion of multidata resources based on fuzzy Petri net［EB/OL］. (20141009). http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6891791.

［12］Van Tung Tran. Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine ［J］. Mechanical Systems and Signal Processing, 2012, 33(5): 147154.

［13］ZHANG Baiyi. Auto fault diagnosis method based on fuzzy Petri net［J］. Journal of Chang’an University: English Edition, 2008, 22(2): 9396.

［14］Meli Stylianou, Darius Nikanpour. Performance.monitoring fault detection and diagnosis of reciprocating chillers ［J］. ASHRAE Transactions,1996, 3(01): 615627.

［15］刘静.基于模糊Petri网的高炉故障诊断系统［J］.计算机测量与控制,2013,21(5):157164.

LIU Jing. Blast furnace fault diagnosis system based on fuzzy neural Petri net ［J］. Computer Measurement & Control, 2013, 21(5): 157164.

［16］王南兰.基于模糊Petri网的发动机磨损故障诊断［J］.煤矿机械,2007,28(12):187191.

WANG Nanlan. Engine wear fault diagnosis based on fuzzy Petri net ［J］. Coal Mine Machinery, 2007, 28(12):187191.

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