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Prognostic Health Management


Prognostic Health Management (PHM) methodology can be used to indicate to us “ if something is going
to fail “.Prognostics is the process of predicting the future reliability of a product by assessing the extent
of deviation or degradation of a product from its expected normal operating conditions. Health monitoring
is a process of measuring and recording the extent of deviation and degradation from a normal operating
condition.

Traditional reliability predictions based on handbook methods are inaccurate. Prognostic Health
Management (PHM) is more suitable for reliability prediction and remaining life assessment, since it
considers actual operational and environmental loading conditions. Currently, research is being conducted
to build-up physics-based damage models for electronics, obtain the life cycle data of product, and assess
the uncertainty in remaining useful life prediction in order to make PHM more realistic. Research is also
being conducted on advanced sensor technologies, communication technologies, decision-making
methods, and return on investment methods. In the future, due to the increasing amount of electronics in
the world and the competitive drive toward more reliable products, PHM is looked upon as a cost-
effective solution for predicting the reliability of all electronic products and systems. Center for Advanced
Life Cycle Engineering (CALCE), http://www.prognostics.umd.edu/ provides a wealth of information on
the subject of PHM




IETM : Interactive Electronic Technical Manual


http://www.linkedin.com/in/hilaireperera
Hilaire Ananda Perera PEng
Long Term Quality Assurance

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Prognostic health management

  • 1. Prognostic Health Management Prognostic Health Management (PHM) methodology can be used to indicate to us “ if something is going to fail “.Prognostics is the process of predicting the future reliability of a product by assessing the extent of deviation or degradation of a product from its expected normal operating conditions. Health monitoring is a process of measuring and recording the extent of deviation and degradation from a normal operating condition. Traditional reliability predictions based on handbook methods are inaccurate. Prognostic Health Management (PHM) is more suitable for reliability prediction and remaining life assessment, since it considers actual operational and environmental loading conditions. Currently, research is being conducted to build-up physics-based damage models for electronics, obtain the life cycle data of product, and assess the uncertainty in remaining useful life prediction in order to make PHM more realistic. Research is also being conducted on advanced sensor technologies, communication technologies, decision-making methods, and return on investment methods. In the future, due to the increasing amount of electronics in the world and the competitive drive toward more reliable products, PHM is looked upon as a cost- effective solution for predicting the reliability of all electronic products and systems. Center for Advanced Life Cycle Engineering (CALCE), http://www.prognostics.umd.edu/ provides a wealth of information on the subject of PHM IETM : Interactive Electronic Technical Manual http://www.linkedin.com/in/hilaireperera Hilaire Ananda Perera PEng Long Term Quality Assurance