The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform

Balbir S. Dhillon - One of the best experts on this subject based on the ideXlab platform.

  • Model to evaluate the state of Mechanical Equipment based on health value
    Mechanism and Machine Theory, 2011
    Co-Authors: G.f. Bin, Balbir S. Dhillon
    Abstract:

    Abstract This paper is aimed at the system evaluation problem of Mechanical Equipment caused by various factors including the multiplicity of structure, close relevancy, and complex operating environment. From functional hierarchy viewpoint of Mechanical Equipment, a quantitative evaluation model for Mechanical Equipment state is developed on the basis of fuzzy set synthesis evaluation and analytic hierarchy process (AHP). Considering the concept of human health and the Equipment running parameters such as reliability, maintenance, and technical performance, the Mechanical Equipment health state and its evaluation hierarchy model are discussed. The health value is employed to quantitatively describe the running state degree of Mechanical Equipment. The weighted vectors of all evaluation hierarchies are discussed by using the AHP method with experiences of expert. Applied fuzzy set evaluation theory, a type of subordinate function of positive and negative indicators, is presented, and evaluation matrix is discussed as well as fuzzy transformation algorithm operators. The valuation model for Mechanical Equipment's multi feature parameters health state based on fuzzy AHP can be developed. The health value of subsystems can be obtained by the means of “from bottom to top”. Therefore, health value database of whole Mechanical Equipment can be established. Based on the database, the health state of Mechanical Equipment is explicit, which provides us with theoretical guide for seeking further optimization maintenance strategy. Finally, a health state evaluation of rotary kiln used in cement industry is taken as an example to verify the validity and feasibility of the proposed model.

  • an evaluation method of Mechanical Equipment health state on the basis of fuzzy synthetic evaluation
    Fuzzy Systems and Knowledge Discovery, 2007
    Co-Authors: Guangfu Bin, Balbir S. Dhillon
    Abstract:

    Considering the characteristics of current maintenance scheme for Mechanical Equipment, from the viewpoint of function structure of Mechanical Equipment, a new evaluation method of Mechanical Equipment running state using fuzzy synthetic evaluation theories is proposed. The concept of health of Mechanical Equipment is defined. The health value (HV) is employed for quantifying the health state of Mechanical Equipment. The weight vector and evaluation matrix are discussed as well as fuzzy transformation algorithm operators. The fuzzy synthesis evaluation model is built. The HV is obtained by means of "from bottom to top" to calculate hierarchical HVs of all sub-systems step by step. HV's database of whole Mechanical Equipment will be established. Based on the database, the health state of Mechanical Equipment is clear, which provides us with theoretical guide for seeking further optimization maintenance strategy. As an example of application, health state evaluation of rotary kiln used in cement industry has demonstrated. The results show proposed method is effective and feasible.

  • FSKD (3) - An Evaluation Method of Mechanical Equipment Health State on the Basis of Fuzzy Synthetic Evaluation
    Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
    Co-Authors: Guangfu Bin, Balbir S. Dhillon
    Abstract:

    Considering the characteristics of current maintenance scheme for Mechanical Equipment, from the viewpoint of function structure of Mechanical Equipment, a new evaluation method of Mechanical Equipment running state using fuzzy synthetic evaluation theories is proposed. The concept of health of Mechanical Equipment is defined. The health value (HV) is employed for quantifying the health state of Mechanical Equipment. The weight vector and evaluation matrix are discussed as well as fuzzy transformation algorithm operators. The fuzzy synthesis evaluation model is built. The HV is obtained by means of "from bottom to top" to calculate hierarchical HVs of all sub-systems step by step. HV's database of whole Mechanical Equipment will be established. Based on the database, the health state of Mechanical Equipment is clear, which provides us with theoretical guide for seeking further optimization maintenance strategy. As an example of application, health state evaluation of rotary kiln used in cement industry has demonstrated. The results show proposed method is effective and feasible.

Liang Pei Huang - One of the best experts on this subject based on the ideXlab platform.

  • Cost Modeling and Simulation for Mining Mechanical Equipment Undergoing Maintenance
    Advanced Materials Research, 2011
    Co-Authors: Wen Hui Yue, Xiao Jun Wang, Liang Pei Huang
    Abstract:

    Based on the time-to-failure density function of parts, the maintenance cost model of mining Mechanical Equipment is established and simulated. The influence factors of time-to-failure density function on the maintenance costs are analysed and the dynamic changing regularity is investigated, which is significant to establish reasonable maintenance strategies, improve the efficiency of Equipment operation, reduce the costs and optimize the design of Mechanical Equipment parts.

  • Reliability Simulation and Prediction of Mechanical Equipment for Maintenance
    Advanced Materials Research, 2010
    Co-Authors: Liang Pei Huang, Zheng Li Gong, Wen Hui Yue
    Abstract:

    The Mechanical Equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for Mechanical Equipment is broken, so it is necessary to research and estimate the safety reliability of Mechanical system. Based on the time-to-failure density function of parts, the Mechanical system reliability model is constructed to track the change course of age structure of part population for the Mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with Mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for Mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

  • Reliability Modeling and Simulation of Mechanical Equipment Undergoing Maintenance
    Applied Mechanics and Materials, 2010
    Co-Authors: Liang Pei Huang, Wen Hui Yue, Zheng Li Gong
    Abstract:

    The Mechanical Equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for Mechanical Equipment is broken, so it is necessary to research and estimate the safety reliability of Mechanical system. Based on the time-to-failure density function of parts, the Mechanical system reliability model is constructed to track the change course of age structure of part population for the Mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with Mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for Mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

Wen Hui Yue - One of the best experts on this subject based on the ideXlab platform.

  • Cost Modeling and Simulation for Mining Mechanical Equipment Undergoing Maintenance
    Advanced Materials Research, 2011
    Co-Authors: Wen Hui Yue, Xiao Jun Wang, Liang Pei Huang
    Abstract:

    Based on the time-to-failure density function of parts, the maintenance cost model of mining Mechanical Equipment is established and simulated. The influence factors of time-to-failure density function on the maintenance costs are analysed and the dynamic changing regularity is investigated, which is significant to establish reasonable maintenance strategies, improve the efficiency of Equipment operation, reduce the costs and optimize the design of Mechanical Equipment parts.

  • Reliability Simulation and Prediction of Mechanical Equipment for Maintenance
    Advanced Materials Research, 2010
    Co-Authors: Liang Pei Huang, Zheng Li Gong, Wen Hui Yue
    Abstract:

    The Mechanical Equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for Mechanical Equipment is broken, so it is necessary to research and estimate the safety reliability of Mechanical system. Based on the time-to-failure density function of parts, the Mechanical system reliability model is constructed to track the change course of age structure of part population for the Mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with Mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for Mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

  • Reliability Modeling and Simulation of Mechanical Equipment Undergoing Maintenance
    Applied Mechanics and Materials, 2010
    Co-Authors: Liang Pei Huang, Wen Hui Yue, Zheng Li Gong
    Abstract:

    The Mechanical Equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for Mechanical Equipment is broken, so it is necessary to research and estimate the safety reliability of Mechanical system. Based on the time-to-failure density function of parts, the Mechanical system reliability model is constructed to track the change course of age structure of part population for the Mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with Mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for Mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

Chen Xiao-hu - One of the best experts on this subject based on the ideXlab platform.

  • Oil Monitoring Application in Mechanical Equipment
    Ordnance Industry Automation, 2009
    Co-Authors: Chen Xiao-hu
    Abstract:

    Make formation and accouterment according to modes of industrial tribology system monitoring and diagnosis center, while use scientific and normative management to monitor relative Mechanical Equipment, analyzing data, fault information, thus to realize fast effective and uniform management and ensure timely, secure and credible monitoring information. Meanwhile, according to various equipped object and work conditions, different comprehensive analyzing methods and standard procedures are formulated. On the basis of monitoring for years, make intensive analysis, summarize and confirm the oil change index of the monitoring Mechanical Equipment, its oil analyzing parameters’ values of warning, alarming and faults, the system can efficiently predict, diagnose Equipment failures, guide scientific lubrication, and reduce Equipment failure probabilities.

Luo Meiji - One of the best experts on this subject based on the ideXlab platform.

  • Reliability Characteristic Analysis for Ship Mechanical Equipment
    2015
    Co-Authors: Luo Meiji
    Abstract:

    The basic points of the reliability and common characteristics of ship Mechanical Equipment are analyzed and expounded in this paper.Characteristics and research status of Mechanical reliability of ship are emphatically summarized.Finally,a conclusion can be draw only by changing the traditional reliability research thinking which is based on Mechanical Equipment reliability characteristics and blended in multidisciplinary new technology to the Mechanical Equipment reliability tests.Ship Mechanical Equipment and Mechanical reliability of systematic integration test method are found,so that it can promote the reliability of the Mechanical Equipment research progress.