Prognostic health management
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Prognostic Health Management (PHM) uses health monitoring and prognostics to predict product failures by assessing degradation from normal operating conditions. Traditional reliability predictions are inaccurate, while PHM is more suitable as it considers actual usage. Research is being conducted to improve PHM models, sensors, communication and decision making to make reliability predictions more realistic. PHM is expected to become a cost-effective solution for predicting electronics reliability due to increasing electronics usage and demand for more reliable products.
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The document discusses several issues related to implementing condition-based maintenance (CBM) and prognostics and health management (PHM) programs, including:
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Hardeep Singh1*, Joan S Ash2 and Dean F Sittig3
Abstract
Background: Implementation and use of electronic health records (EHRs) could lead to potential improvements in
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Several countries have made recent multi-billion dollar
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structure to transform their health care delivery systems.
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
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- 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