Cheng, S., Azarian, M., & Pecht, M. (2010). Sensor systems for prognostics and health management.
Sensors,
10, 5774–5797.
CrossRef
Crespo, A., & Gupta, J. (2006). Contemporary maintenance management: Process, framework and supporting pillars.
Omega,
34(3), 313–326.
CrossRef
Guillén, A. J., Gómez, J., Crespo, A., & Guerrero, A. (2014). Towards the industrial application of PHM: Challenges and methodological approach. In
PHM Society European Conference 2014.
Haddad, G., Sandborn, P., & Pecht, M. (2012). An options approach for decision support of systems with prognostic capabilities.
IEE Transactions on Reliablity,
61(4).
International Electrotechnical Commission. (2006). IEC 60812—Analysis techniques for system reliability—Procedure for failure mode and effects analysis (FMEA).
International Organization for Standardization. (2003). ISO 13374-1:2003—Condition monitoring and diagnostics of machines—Data processing, communication and presentation—Part 1: General guidelines.
International Organization for Standardization. (2004). ISO 13381-1:2004—Condition monitoring and diagnostics of machines—Prognostics—Part 1: General guidelines.
International Organization for Standardization. (2011a). ISO 17359:2011—Condition monitoring and diagnostics of machines—General guidelines.
International Organization for Standardization. (2012b). ISO 13379-1:2012—Condition monitoring and diagnostics of machines—Data interpretation and diagnostics techniques—Part 1: General guidelines.
Jardine, A., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition based maintenance.
MechSyst Signal Process,
20, 1483–1510.
Lee, J., Ni, J., Djurdjanovic, D., Qiu, H., & Liao, H. (2006). Intelligent prognostics tools and e-maintenance.
Computers in Industry,
57, 476–489.
MIMOSA. (2012). OpenO&M industrial capital project plant information handover best practices guide, MIMOSA 2012.
Moubray, J. (1997).
RCM II: Reliability-centred maintenance. New York: Industrial Press Inc.
Sheppard, J., Kaufman, M., & Wilmering, T. (2008). IEEE standards for prognostics and health management. IEEE AUTOTESTCON.
United States Army. (2013). ADS-79D-HDBK—Aeronautical design standard handbook for condition based maintenance systems for US Army Aircraft.
Vogl, G. W., Weiss, B. A., & Donmez, M. A. (2014). Standards for prognostics and health management (PHM) techniques within manufacturing operations. In
Annual Conference of the Prognostics and Health Management Society.
Vachtsevanos, G., Lewis, F., Roemer, M., Hess, A., & Wu, B. (2006).
Intelligent fault diagnosis and prognosis for engineering systems. Hoboken, NJ: Wiley.
CrossRef
Waeyenbergh, G., & Pintelon, L. (2002). A framework for maintenance concept development.
International Journal Production Economics,
77, 299–313.
CrossRef
