物联网环境下的机械系统状态监测技术展望

中国机械工程 ›› 2011, Vol. 22 ›› Issue (24): 3011-3015.

物联网环境下的机械系统状态监测技术展望

严新平;张月雷

1.武汉理工大学船舶动力工程技术交通行业重点实验室,武汉,430063

2.中国人民解放军94270部队,济南,255017

出版日期:2011-12-26 发布日期:2011-12-29
基金资助:
国家自然科学基金资助项目(50975213，51139005)；高等学校学科创新引智计划资助项目(B08031)
National Natural Science Foundation of China（No. 50975213，51139005）

Thoughts of Mechanical System Condition Monitoring Technology under IOT

Yan Xinping1;Zhang Yuelei 1,2

1.Key Laboratory of Marine Power Engineering & Technology,Ministry of Transportation,Wuhan University of Technology,Wuhan,430063

2.Unit 94270 of PLA,Jinan,255017

Online:2011-12-26 Published:2011-12-29
Supported by:
National Natural Science Foundation of China（No. 50975213，51139005）

摘要/Abstract

摘要：

论述了物联网环境下机械系统状态监测技术的新发展,指出开展机械系统的可监测性设计是物联网环境下实施机械系统状态监测技术的基础,研发符合物联网特征的在线监测传感器及其系统是物联网环境下开展机械系统状态监测的保证,建立物联网环境下的机械系统状态监测技术标准体系是机械系统状态监测技术快速发展的支撑。



关键词:

物联网, 状态监测, 机械系统, 可监测性

Abstract:

The latest progresses in mechanical system condition monitoring technology under the IOT was reviewed and presented.The montiorability-based design basic theory is fundamental to develop mechanical system condition monitoring technology under the IOT.A study of on-line monitoring sensors and

their systems according with IOT features guarantees the development of mechanical system condition monitoring technology in IOT.The establishment of the standard system of mechanical system condition monitoring technology can provide the technical support to the development of mechanical system condition monitoring technology under IOT.

Key words: internet of things(IOT), condition monitoring, mechanical system, monitorability

中图分类号:

TH11

严新平, 张月雷.

物联网环境下的机械系统状态监测技术展望

[J]. 中国机械工程, 2011, 22(24): 3011-3015.

YAN Xin-Beng, ZHANG Ru-Lei.

Thoughts of Mechanical System Condition Monitoring Technology under IOT

[J]. China Mechanical Engineering, 2011, 22(24): 3011-3015.

参考文献

[1]陈源华[1,2],张月雷[1,3],严新平[1,3].工程船舶动力机械状态监测与故障诊断现状及发展[J].中国设备工程,2010(5):7-8.
[2]Hameed Z, Hong Y S, Cho Y M, et al. Condition Monitoring and Fault Detection of Wind Turbines and Related Algorithms: a Review[J]. Renewable and Sustainable Energy Reviews, 2009,13 (1): 1-39.
[3]Yang W, Tavner P J, Wilkinson M R. Condition Monitoring and Fault Diagnosis of a Wind Turbine Synchronous Generator Drive Train[J]. IET Renewable Power Generation, 2009,3 (1): 1-11.
[4]孔宁.物联网资源寻址关键技术研究[D].中国科学院计算机网络信息中心:
[5]彭晓珊[1].关于物联网技术发展及应用前景的研究[J].汕头科技,2010(1):25-30. 6
[6]张义民[1].机械可靠性设计的内涵与递进[J].机械工程学报,2010(14):167-188. 4
[7]Haffaf H, Ould Bouamama B,Dauphin- Tanguy G. Matroid Algorithm for Monitorability Analysis of Bond Graphs[J]. Journal of the Franklin Institute, 2006,343(1):111-123.
[8]张月雷[1,2],严新平[1,3],袁成清[1,3],白秀琴[1,3].可监测性设计在机械产品中的应用研究[J].中国机械工程,2010(20):2500-2504.
[9]张月雷[1,2],严新平[1,2],袁成清[1,2].机械系统可监测性设计探讨[J].船海工程,2010(2):78-81.
[10]张优云[1],谢友柏[2],.状态监测故障诊断与现代设计技术[J].中国机械工程,1997,8(5):101-103. 5
[11]陈锦玲.监测诊断技术在舰船动力装置的应用[C]//中国造船工程学会修船技术学术委员会2004年年会论文集.北京:中国造船工程学会,2004:255-259.
[12]刘杰.分布式资源环境下船舶动力设备诊断系统的关键技术研究[D].武汉理工大学,2010:
[13]王辉[1],张丽[1].交通科技信息资源共享平台标准规范研究与制定[J].交通信息与安全,2009(5):57-60.
[14]严新平[1].油液监测技术标准体系建设的思考[J].中国设备工程,2010(2):63-64.