The Experts below are selected from a list of 49206 Experts worldwide ranked by ideXlab platform

Liliane Pintelon - One of the best experts on this subject based on the ideXlab platform.

  • a dynamic predictive Maintenance policy for complex multi component systems
    Reliability Engineering & System Safety, 2013
    Co-Authors: Adriaan Van Horenbeek, Liliane Pintelon
    Abstract:

    The use of prognostic methods in Maintenance in order to predict remaining useful life is receiving more attention over the past years. The use of these techniques in Maintenance decision making and optimization in multi-component systems is however a still underexplored area. The objective of this paper is to optimally Plan Maintenance for a multi-component system based on prognostic/predictive information while considering different component dependencies (i.e. economic, structural and stochastic dependence). Consequently, this paper presents a dynamic predictive Maintenance policy for multi-component systems that minimizes the long-term mean Maintenance cost per unit time. The proposed Maintenance policy is a dynamic method as the Maintenance schedule is updated when new information on the degradation and remaining useful life of components becomes available. The performance, regarding the objective of minimal long-term mean cost per unit time, of the developed dynamic predictive Maintenance policy is compared to five other conventional Maintenance policies, these are: block-based Maintenance, age-based Maintenance, age-based Maintenance with grouping, inspection condition-based Maintenance and continuous condition-based Maintenance. The ability of the predictive Maintenance policy to react to changing component deterioration and dependencies within a multi-component system is quantified and the results show significant cost savings.

Susan Snedaker - One of the best experts on this subject based on the ideXlab platform.

  • BC/DR Plan Maintenance
    Business Continuity and Disaster Recovery Planning for IT Professionals, 2014
    Co-Authors: Susan Snedaker, Chris Rima
    Abstract:

    This chapter discusses best practices for managing and maintaining a business continuity and disaster recovery Plan. It discusses the importance of change management in keeping the Plan up to date and provides suggestions on managing change related to BC/DR Plans. It provides steps to audit the BC/DR Plan and suggestions on how to add operational processes to assist in keeping the Plan current. The chapter closes by discussing how to close out your BC/DR project.

  • business continuity and disaster recovery Planning for it professionals
    2007
    Co-Authors: Susan Snedaker
    Abstract:

    Powerful Earthquake Triggers Tsunami in Pacific. Hurricane Isaac Makes Landfall in the Gulf Coast. Wildfires Burn Hundreds of Houses and Businesses in Colorado. Tornado Touches Down in Missouri. These headlines not only have caught the attention of people around the world, they have had a significant effect on IT professionals as well. The new 2nd Edition of Business Continuity and Disaster Recovery for IT Professionals gives you the most up-to-date Planning and risk management techniques for business continuity and disaster recovery (BCDR). With distributed networks, increasing demands for confidentiality, integrity and availability of data, and the widespread risks to the security of personal, confidential and sensitive data, no organization can afford to ignore the need for disaster Planning. Author Susan Snedaker shares her expertise with you, including the most current options for disaster recovery and communication, BCDR for mobile devices, and the latest infrastructure considerations including cloud, virtualization, clustering, and more. Snedaker also provides you with new case studies in several business areas, along with a review of high availability and information security in healthcare IT. Don't be caught off guard-Business Continuity and Disaster Recovery for IT Professionals, 2nd Edition , is required reading for anyone in the IT field charged with keeping information secure and systems up and running. Complete coverage of the 3 categories of disaster: natural hazards, human-caused hazards, and accidental / technical hazards Extensive disaster Planning and readiness checklists for IT infrastructure, enterprise applications, servers and desktops Clear guidance on developing alternate work and computing sites and emergency facilities Actionable advice on emergency readiness and response Up-to-date information on the legal implications of data loss following a security breach or disaster Table of Contents Chapter 1: Business Continuity & Disaster Recovery Overview Chapter 2: Legal and Regulatory Environment Chapter 3: Project Initiation Chapter 4: Risk Assessment Chapter 5: Business Impact Assessment Chapter 6: Risk Mitigation Chapter 7: BC/DR Plan Development Chapter 8: Emergency Response and Recovery Chapter 9: Training, Testing & Auditing Results Chapter 10: BC/DR Plan Maintenance Case Study A: Utilities Case Study B: Healthcare Case Study C: Financial Case Study D: Small/Medium Business Glossary Checklists Resources

Daniele Inaudi - One of the best experts on this subject based on the ideXlab platform.

  • development of method for in service crack detection based on distributed fiber optic sensors
    Structural Health Monitoring-an International Journal, 2012
    Co-Authors: Branko Glisic, Daniele Inaudi
    Abstract:

    Many bridges worldwide are approaching the end of their lifespan and it is necessary to assess their health condition in order to mitigate risks, prevent disasters, and Plan Maintenance activities in an optimized manner. Fracture critical bridges are of particular interest since they have only little or no load path redundancy. Structural health monitoring (SHM) has recently emerged as a branch of engineering, which aim is to improve the assessment of structural condition. Distributed optical fiber sensing technology has opened new possibilities in SHM. A distributed deformation sensor (sensing cable) is sensitive at each point of its length to strain changes and cracks. Such a sensor practically monitors a one-dimensional strain field and can be installed over all the length of the monitored structural members, thereby providing with integrity monitoring, i.e. direct detection and characterization (including recognition, localization, and quantification or rating) of local strain changes generated by dam...

Adriaan Van Horenbeek - One of the best experts on this subject based on the ideXlab platform.

  • a dynamic predictive Maintenance policy for complex multi component systems
    Reliability Engineering & System Safety, 2013
    Co-Authors: Adriaan Van Horenbeek, Liliane Pintelon
    Abstract:

    The use of prognostic methods in Maintenance in order to predict remaining useful life is receiving more attention over the past years. The use of these techniques in Maintenance decision making and optimization in multi-component systems is however a still underexplored area. The objective of this paper is to optimally Plan Maintenance for a multi-component system based on prognostic/predictive information while considering different component dependencies (i.e. economic, structural and stochastic dependence). Consequently, this paper presents a dynamic predictive Maintenance policy for multi-component systems that minimizes the long-term mean Maintenance cost per unit time. The proposed Maintenance policy is a dynamic method as the Maintenance schedule is updated when new information on the degradation and remaining useful life of components becomes available. The performance, regarding the objective of minimal long-term mean cost per unit time, of the developed dynamic predictive Maintenance policy is compared to five other conventional Maintenance policies, these are: block-based Maintenance, age-based Maintenance, age-based Maintenance with grouping, inspection condition-based Maintenance and continuous condition-based Maintenance. The ability of the predictive Maintenance policy to react to changing component deterioration and dependencies within a multi-component system is quantified and the results show significant cost savings.

Branko Glisic - One of the best experts on this subject based on the ideXlab platform.

  • development of method for in service crack detection based on distributed fiber optic sensors
    Structural Health Monitoring-an International Journal, 2012
    Co-Authors: Branko Glisic, Daniele Inaudi
    Abstract:

    Many bridges worldwide are approaching the end of their lifespan and it is necessary to assess their health condition in order to mitigate risks, prevent disasters, and Plan Maintenance activities in an optimized manner. Fracture critical bridges are of particular interest since they have only little or no load path redundancy. Structural health monitoring (SHM) has recently emerged as a branch of engineering, which aim is to improve the assessment of structural condition. Distributed optical fiber sensing technology has opened new possibilities in SHM. A distributed deformation sensor (sensing cable) is sensitive at each point of its length to strain changes and cracks. Such a sensor practically monitors a one-dimensional strain field and can be installed over all the length of the monitored structural members, thereby providing with integrity monitoring, i.e. direct detection and characterization (including recognition, localization, and quantification or rating) of local strain changes generated by dam...