In: Proceedings of the 19th IFAC world congress, Cape Town, South Africa, IFAC Proceedings Volumes (IFAC-Papers Online), pp 24–29 Lee J, Holgado M, Kao H, Macchi M (2014) New thinking paradigm for maintenance innovation design. ![]() Vachtsevanos G, Lewis F, Roemer M, Hess A, Wu B (2006) Intelligent fault diagnosis and prognosis for engineering systems. Sun B, Zeng S, Kang R, Pecht M (2012) Benefits and challenges of system prognostics. Jardine A, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition based maintenance. Guillén AJ, Gómez J, Crespo A, Guerrero A (2014) Towards the industrial application of PHM: challenges and methodological approach, PHM Society European conference 2014Ĭrespo A, Moreu P, Sola A, Gómez J (2015) Criticality analysis for maintenance purposes. Int J Prod Econ 121:633–6402009Ĭrespo A, Gupta J (2006) Contemporary maintenance management: process, framework and supporting pillars. Waeyenbergh G, Pintelon L (2009) CIBOCOF: a framework for industrial maintenance concept development. Moubray J (1997) RCM II: reliability-centred maintenance. Levrat E, Iung B, Crespo A (2008) E-maintenance: review and conceptual framework. In: 5th annual IEEE conference on automation science and engineering, Bangalore Ly C, Tom K, Byington CS, Patrick R, Vatchsevanos GJ (2009) Fault diagnosis an failure prognosis on engineering system: a global perspective. Lee J, Ni J, Djurdjanovic D, Qiu H, Liao H (2006) Intelligent prognostics tools and e-maintenance. Muller A, Crespo A, Iung B (2008) On the concept of e-maintenance: review and current research. Garetti M, Taisch M (2012) Sustainable manufacturing: trends and research challenges. Takata S, Kirnura F, Van Houten FJAM, Westkamper E, Shpitalni M, Ceglarek D, Lee J (2004) Maintenance: changing role in life cycle management. Macchi M, Fumagalli L (2013) A maintenance maturity assessment method for the manufacturing industry. Waeyenbergh W, Pintelon L (2004) Maintenance concept development: a case study. Waeyenbergh G, Pintelon L (2002) A framework for maintenance concept development. Lee J, Ghaffari M, Elmeligly S (2011) engineering. Pinjala S, Pintelon L, Vereecke A (2006) An empirical investigation on the relationship between business and maintenance strategies. Haddad G, Sandborn P, Pecht M (2012) An options approach for decision support of systems with prognostic capabilities, IEE Trans Reliab 61(4):872–883īird J, Madge N, Reichard K (2014) Towards a capabilities taxonomy for prognostics and health management. Pecht M (2008) Prognostics and Health Management of Electronics. ![]() KeywordsĬheng S, Azarian M, Pecht M (2010) Sensor systems for prognostics and health management. The conceptual model is the research finding of this review note and helps to discuss the role of PHM in advanced maintenance systems. The model highlights: (i) how PHM may impact the definition of maintenance policies (ii) how PHM fits within the Condition-Based Maintenance (CBM) and (iii) how PHM can be integrated into Reliability Centered Maintenance (RCM) programs. In order to analyze how maintenance will change by using PHM, a conceptual model is proposed built upon three views. The advances are recognized as outcomes of an innovative discipline, nowadays discussed under the term of Prognostics and Health Management (PHM). The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained.Ī great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systems’ condition evolution and remaining useful life.
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