Operating Reliability Assessment by Equipment Response Condition Information

您当前的位置：

首页 >

文章列表页 >

Operating Reliability Assessment by Equipment Response Condition Information

更新时间：2025-07-09

- Operating Reliability Assessment by Equipment Response Condition Information
- Vol. 46, Issue 1, Pages: 108-113(2012)
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： O121.8;G558
- Online First：10 January 2012，
  
  Published：2012
- 稿件说明：
移动端阅览
Operating Reliability Assessment by Equipment Response Condition Information[J]. 2012, 46(1): 108-113.
DOI：

Operating Reliability Assessment by Equipment Response Condition Information[J]. 2012, 46(1): 108-113. DOI：

摘要

为了保障关键设备的运行安全可靠

以克服经典的可靠性分析方法难以评估单台运行设备可靠性的不足

提出了一种利用设备响应状态信息的运行可靠性评估方法.该方法利用设备响应状态信息

应用小波包分析和距离评估技术

提取并优选反映设备运行状态的敏感特征指标

然后结合比例协变量模型

给出基本响应协变量函数的定量计算方法

从而建立了设备的可靠性评估模型

实现了设备的运行可靠性评估.该方法通过特征优选将敏感响应协变量特征指标引入到设备可靠性评估中

实现了基本响应协变量函数的准确定量计算及设备运行可靠性的有效评估.将该方法应用到数控机床刀具的可靠性分析中

有效地评估了数控机床刀具的运行可靠性

并验证了提出方法的合理性和有效性.

Abstract

Assuring key equipment to run safely is crucial to improve the reliability of mechanical equipment. However

it is difficult for the classical reliability analysis methods to achieve the reliability assessment of single equipment. An operating reliability assessment method by equipment response condition information is proposed. Wavelet packet analysis and distance evaluation are employed to extract and optimize response covariates reflecting the equipment operation state. And combining with proportional covariate model

the quantitative calculation scheme for the baseline response covariate function is proposed. Then the reliability assessment model is established to achieve the reliability assessment

where sensitive response covariate is introduced by means of covariate optimization

and the baseline response covariate function is gained and the operating reliability is evaluated. The proposed strategy is applied to reliability assessment of cutting tool of CNC machine to verify the rationality and efficiency.

关键词

Keywords

references

HENG A S Y. Intelligent prognostics of machinery health utilizing suspended condition monitoring data [D]. Brisbane, Australia: Queensland University of Technology, 2009.

SUN Y, MA L, MATHEW J, et al. Mechanical systems hazard estimation using condition monitoring [J]. Mechanical Systems and Signal Processing, 2006, 20(5): 1189-1201.

EBLING C E. An introduction to reliability and maintainability engineering [M]. New York, USA: McGraw-Hill, 1997: 24-128.

LIN Changching, TSENG H. A neural network application for reliability modeling and condition-based predictive maintenance [J]. The International Journal of Advanced Manufacturing Technology, 2005, 25(1):174-179.

LIAO H, ZHAO W, GUO H. Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model [C]∥Annual Reliability and Maintainability Symposium 2006 Proceedings. Newport Beach, USA: Institute of Electrical Electronics Engineers, 2006:127-132.

LIAO H, QIU H, LEE J, et al. A predictive tool for remaining useful life estimation of rotating machinery components [C]∥Proceedings of the ASME International Design Engineering Technical Conferences Computers and Information in Engineering Conference 2005. Long Beach, USA: American Society of Mechanical Engineers, 2005: 24-28.

YOU M, LI L, MENG G. Two-zone proportional hazard model for equipment remaining useful life prediction [J]. Journal of Manufacturing Science and Engineering, 2010, 132: 041008. 1-041008.6.

丁锋,何正嘉,訾艳阳,等. 基于设备状态振动特征的比例故障率模型可靠性评估 [J]. 机械工程学报, 2009, 45(12): 89-94.

DING Feng, HE Zhengjia, ZI Yanyang, et al. Reliability assessment based on equipment condition vibration feature using proportional hazards model [J]. Chinese Journal of Mechanical Engineering, 2009, 45(12): 89-94.

何正嘉,訾艳阳,张西宁. 现代信号处理及工程实例 [M]. 西安:西安交通大学出版社, 2007: 128-132.

雷亚国,何正嘉,訾艳阳,等. 基于特征评估和神经网络的机械故障诊断模型 [J].西安交通大学学报, 2006, 40(5):558-562.

LEI Yaguo, HE Zhengjia, ZI Yanyang, et al. Mechanical fault diagnosis model based on feature evaluation and neural networks [J]. Journal of Xi'an Jiaotong University, 2006, 40(5): 558-562.

何正友,刘志刚,钱清泉.小波熵理论及其在电力系统中应用的可行性探讨 [J].电网技术, 2008, 28(21):17-21.

HE Zhengyou, LIU Zhigang, QIAN Qingquan. Study on wavelet entropy theory and adaptability of its application in power system [J]. Power System Technology, 2008, 28(21): 17-21.

张义民. 机械可靠性设计的内涵与递进 [J]. 机械工程学报,2010,46(14): 167-188.

ZHANG Yimin. Connotation and development of mechanical reliability-based design [J]. Journal of Mechanical Engineering, 2010, 46(14): 167-188.

徐建平,夏国平. 我国装备制造业的国际比较及对策研究 [J]. 中国机械工程, 2008, 19(20): 2510-2518.

XU Jianping, XIA Guoping. Research on the international comparison and countermeasure of equipment manufacturing in china [J]. Chinese Mechanical Engineering, 2008, 19(20): 2510-2518.

曾祥超,陈捷. 数控机床刀具磨损监测实验数据处理方法研究 [J]. 机械设计与制造, 2009(1): 213-215.

ZENG Xiangchao, CHEN Jie. Study of data processing method for CNC tool wear monitoring [J]. Machinery Design Manufacture, 2009(1): 213-215.

谢平,刘彬.一种基于小波网络的切削刀具故障监测 [J].机械工程学报, 2002, 38(2): 108-111.

XIE Ping, LIU Bin. Fault detection on cutting tools based wavelet neural network [J]. Chinese Journal of Mechanical Engineering, 2002, 38(2): 108-111.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

An Evaluation Method of Operational Reliability for Aero-Engine Rotor Bearings

Knowledge Graph Representation Learning Driven by Semantic Discrimination and Subgraph Integration

Influence of Structural Parameters on the Summer Operational Characteristics of a Three-Tower-in-One Indirect Air-Cooling System

Electrothermal Coupling Research on the Evolutionary Law of Anti-Corona Performance for High-Altitude Air-Cooled Generators

Sensitivity Analysis of Foil Geometrical Parameters for the Third-Generation CO2 Gas Foil Bearings Based on Design of Experiments Method

Related Author

陈保家

邱光银

肖文荣

田红亮

陈法法

赵春华

刘芙蓉

Related Institution

三峡大学湖北省水电机械设备设计与维护重点实验室

⁰