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基于SVM的制冷系统多故障并发检测与诊断 被引量：10

SVM-based FDD of multiple-simultaneous faults for chillers
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摘要 引言随着人们对现代建筑室内环境质量、舒适度的要求不断提高,暖通空调制冷系统(HVAC&R)愈加复杂,与此同时,由于工况的异常变化或系统部件老化以及未及时、定期维修或保养等原因,系统常在故障状态下非健康运行,带障运行导致的能耗增加大约30%[1]。对其故障进行早期检测与诊断,利于及时排除故障,维持或及时恢复系统正常运行,从而减少不必要的能耗,降低运行成本,提高建筑物环境舒适度。 引言随着人们对现代建筑室内环境质量、舒适度的要求不断提高,暖通空调制冷系统(HVAC&R)愈加复杂,与此同时,由于工况的异常变化或系统部件老化以及未及时、定期维修或保养等原因,系统常在故障状态下非健康运行,带障运行导致的能耗增加大约30%[1]。对其故障进行早期检测与诊断,利于及时排除故障,维持或及时恢复系统正常运行,从而减少不必要的能耗,降低运行成本,提高建筑物环境舒适度,减少制冷系统设备磨损乃至
作者 谷波 韩华 洪迎春 康嘉
机构地区 上海交通大学制冷与低温工程研究所
出处 《化工学报》 EI CAS CSCD 北大核心 2011年第S2期112-119,共8页 CIESC Journal
基金 国家自然科学基金项目(50876059)~~
关键词 多故障并发 故障检测 故障诊断 支持向量机 制冷 multiple-simultaneous faults fault detection fault diagnosis support vector machine refrigeration
分类号 TQ-55 [化学工程]
  • 相关文献

参考文献15

  • 1刘相艳,谷波,黎远光.基于并行感知器的制冷系统故障诊断分析[J].上海交通大学学报,2005,39(8):1233-1239. 被引量：10
  • 2Bo-Suk Yang,Tian Han,Won-Woo Hwang.Fault diagnosis of rotating machinery based on multi-class support vector machines[J]. Journal of Mechanical Science and Technology . 2005 (3)
  • 3Li H,Braun J E.A methodology for diagnosing multiplesimultaneous faults in vapor compression air conditioners. HVAC R Research . 2007
  • 4Liang J,Du R.Model-based fault detection and diagnosis ofHVAC systems using support vector machine method. International Journal of Refrigeration . 2007
  • 5Han Hua,Gu Bo,Wang Ting,Li Zhengrong.Importantsensors for chiller fault detection and diagnosis (FDD)fromthe perspective of feature selection and machine learning. International Journal of Refrigeration . 2011
  • 6Ye’’lamos I,Graells M,Puigjaner L.Simultaneous faultdiagnosis in chemical plants using a multilabel approach. American Institute of Chemical Engineers Journal . 2007
  • 7Han Hua,Cao Zhikun,Gu Bo,Ren Neng.PCA-SVM-basedautomated fault detection and diagnosis(AFDD)for vapor-compression refrigeration systems. HVAC R Research . 2010
  • 8Comstock M C,Braun J E.Experimental data from faultdetection and diagnostic studies on a centrifugal chiller. ASHRAE Research Project 1043 . 1999
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二级参考文献11

  • 1Rossi T M, Braun J E. Minimizing operating costs of vapor compression equipment with optimal service scheduling [J]. International Journal of Heating,Ventilating, and Air Conditioning and Refrigerating Research, 1996, 2(1) :3-26.
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  • 7House J M, Lee W Y, Shin D R. Classification techniques for fault detection and diagnosis of an airhanding unit[J]. ASHRAE Trans, 1999, 105 (2):1087- 1097.
  • 8Peitsman H C, Bakker V. Application of black-box models to HVAC systems for fault detection [J].ASHRAE Trans, 1996, 102(1): 628-640.
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  • 10Wasserman P D. Advanced methods in neural computing[M]. New York:Van Nostrand Reinhold,1993.35-55.

共引文献9

同被引文献87

引证文献10

二级引证文献73

化工学报
2011年 第S2期

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