The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform

Bosuk Yang - One of the best experts on this subject based on the ideXlab platform.

  • support vector machine in machine Condition Monitoring and fault diagnosis
    Mechanical Systems and Signal Processing, 2007
    Co-Authors: Achmad Widodo, Bosuk Yang
    Abstract:

    Recently, the issue of machine Condition Monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. This paper presents a survey of machine Condition Monitoring and fault diagnosis using support vector machine (SVM). It attempts to summarize and review the recent research and developments of SVM in machine Condition Monitoring and diagnosis. Numerous methods have been developed based on intelligent systems such as artificial neural network, fuzzy expert system, Condition-based reasoning, random forest, etc. However, the use of SVM for machine Condition Monitoring and fault diagnosis is still rare. SVM has excellent performance in generalization so it can produce high accuracy in classification for machine Condition Monitoring and diagnosis. Until 2006, the use of SVM in machine Condition Monitoring and fault diagnosis is tending to develop towards expertise orientation and problem-oriented domain. Finally, the ability to continually change and obtain a novel idea for machine Condition Monitoring and fault diagnosis using SVM will be future works.

Achmad Widodo - One of the best experts on this subject based on the ideXlab platform.

  • support vector machine in machine Condition Monitoring and fault diagnosis
    Mechanical Systems and Signal Processing, 2007
    Co-Authors: Achmad Widodo, Bosuk Yang
    Abstract:

    Recently, the issue of machine Condition Monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. This paper presents a survey of machine Condition Monitoring and fault diagnosis using support vector machine (SVM). It attempts to summarize and review the recent research and developments of SVM in machine Condition Monitoring and diagnosis. Numerous methods have been developed based on intelligent systems such as artificial neural network, fuzzy expert system, Condition-based reasoning, random forest, etc. However, the use of SVM for machine Condition Monitoring and fault diagnosis is still rare. SVM has excellent performance in generalization so it can produce high accuracy in classification for machine Condition Monitoring and diagnosis. Until 2006, the use of SVM in machine Condition Monitoring and fault diagnosis is tending to develop towards expertise orientation and problem-oriented domain. Finally, the ability to continually change and obtain a novel idea for machine Condition Monitoring and fault diagnosis using SVM will be future works.

Paul Fanning - One of the best experts on this subject based on the ideXlab platform.

  • Vibration Based Condition Monitoring: A Review
    Structural Health Monitoring, 2004
    Co-Authors: E. Peter Carden, Paul Fanning
    Abstract:

    Vibration based Condition Monitoring refers to the use of in situ non-destructive sensing and analysis of system characteristics –in the time, frequency or modal domains –for the purpose of detecting changes, which may indicate damage or degradation. In the field of civil engineering, Monitoring systems have the potential to facilitate the more economical management and maintenance of modern infrastructure. This paper reviews the state of the art in vibration based Condition Monitoring with particular emphasis on structural engineering applications.

Amin Almasi - One of the best experts on this subject based on the ideXlab platform.

  • Condition Monitoring for rotating machinery
    Chemical Engineering, 2012
    Co-Authors: Amin Almasi
    Abstract:

    The article discusses the implementation of advanced Condition Monitoring of rotating machinery in chemical process industries (CPI) facilities. It states that advanced Condition Monitoring is being utilized to improve the operation and maintenance of workhorse components. It says that the CPI facilities implement Condition Monitoring and predictive-maintenance programs to assure that critical rotating machines can be operated efficiently without an unscheduled shutdown.

E. Peter Carden - One of the best experts on this subject based on the ideXlab platform.

  • Vibration Based Condition Monitoring: A Review
    Structural Health Monitoring, 2004
    Co-Authors: E. Peter Carden, Paul Fanning
    Abstract:

    Vibration based Condition Monitoring refers to the use of in situ non-destructive sensing and analysis of system characteristics –in the time, frequency or modal domains –for the purpose of detecting changes, which may indicate damage or degradation. In the field of civil engineering, Monitoring systems have the potential to facilitate the more economical management and maintenance of modern infrastructure. This paper reviews the state of the art in vibration based Condition Monitoring with particular emphasis on structural engineering applications.