Abstract
The modern systems operating at varying conditions brought a new paradigm shift to in-machine renovation and repair. These systems often encounter an infinite collection of clumsy diagnostic tools and applications that decrease agility, increase time-to-repair, and increase management overheads. One approach is to remove the human and potential costly and time consuming human errors, from the diagnosis of faults and implementation of a maintenance strategy. In order to achieve this it is necessary to develop systems that support advanced intelligent maintenance systems or smart maintenance technologies. Self-maintenance machines can be a better option with the capabilities of condition monitoring, diagnosing, repair planning and executing in order to extend the life and performance of equipment. The objective of this paper is to discuss the concept of self-maintenance, need of self-maintenance, potential scenarios where self-maintenance can be successfully implemented and issues related to self-maintenance machines. It has been concluded that the aim is to have self-maintenance system in order to make a machine capable of reconfiguration, compensation, and self-maintenance.
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References
Akyildiz SW, Sankarasubramaniam Y, Cayirci E (2002) A survey on sensor networks. IEEE Commun Mag 40:102–114
Bjorling SE, Uday K (2009) ICT concepts for managing future challenges in E-maintenance. COMADEM, San Sebastian
Culler D, Estrin D, Srivastava M (2004) Overview of sensor networks. IEEE Comput 37:41–49
Echavarría E (2009) Report: RAMS for offshore wind farms. Delft University of Technology, Netherlands
Emmanouilidis C and Pistofidis P (2010) Machinery self-awareness with wireless sensor networks: a means to sustainable operations. Proceedings of the 2nd workshop on maintenance for sustainable manufacturing, Verona, Italy, pp. 43–50
Endrenyi J, Asgarpoor S (2001) IEEE/PES Task force on impact of maintenance strategy on reliability, J. Endrenyi, Chair, the present status of maintenance strategies and the impact of maintenance on reliability. IEEE Trans Power Syst 16(4):638–646
Hac A (2009) Wireless sensor network designs. Wiley, Etobicoke
Hapiak FE, Nigel TN (1995) Aviation batteries: the state of the art in nickel cadmium: Reducing battery maintenance to cut costs and downtime. Aircr Eng Aerosp Technol 67(3):2–3
Hashemian HM (2006) Maintenance of Process Instrumentation in Nuclear Power Plants, Springer Berlin; ISBN-103-540-33703-2
Hinduja S, Atkinson J, Lau DK, Labib AW, Agirrezabal P (2000) An intelligent controller for improving the quality of deep drawn components. Annals of the CIRP 49(1):109–112
Holmgren M, Söderholm P (2008) A process approach to maintenance-related hazard identification. Int J COMADEM 11(1):36–46
http://en.wikipedia.org/wiki/Data_acquisition. Accessed on 9 Sept 2013
IAEA (2011) Fukushima nuclear accident update log updates of 2 June 2011
Jardine AKS, Lin D, Banjevic D (2006) A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech Syst Signal Process 20:1483–1510
Katrin J, Jonny H, Kalle L (2009) Turn to the material: remote diagnostics systems and new forms of boundary-spanning. Inf Organ 19(4):233–252
Keasbury V, Labib AW, Atkinson J, Frost H (2004) Intelligent control of electrochemical machining (ECM), process. Proceedings of 34th international MATADOR conference, Springer, Manchester, UK, 475–480
Labib AW, Atkinson J, Hinduja S (2000) Analysing the parameters in deep drawing using the analytic hierarchy process. Proceedings of 16th international conference, computer aided production engineering, Edinbrugh, UK
Lee J, Ghaffari M, Elmeligy S (2011) Self-maintenance and engineering immune systems: towards smarter machines and manufacturing systems. Ann Rev Control 35:111–122
Prosser SJ, Schmidt EDD (1997) Smart sensors for industrial applications. Sens Rev 17:217–222
Rademakers LWMM, Braam H, Verbruggen TW (2003) R&D needs for O&M of wind turbines. Proceedings of European Wind Energy Conference Madrid, Spain
Raghavendra C, Sivalingam K, Znati T (2004) Wireless sensor networks. Springer, New York
Rajaravivarma V, Yang Y, Yang T (2003) An overview of wireless sensor network and applications. In: Proceedings of 35th southeastern symposium on system theory, Morgantown, USA, 432–436
Self-repairing and self-sustaining autonomous machines (http://technologies.research.gwu.edu/technologies/11-025-hsu. Accessed on 26 June 2013
Smith K (2012) High-performance polymers components, advanced materials and processes, 30–31
Sohrabi K, Gao J, Ailawadhi V, Pottie G (2000) Protocols for self-organization of a wireless sensor network. IEEE Pers Commun 7:16–27
Tubaishat M, Madria S (2003) Sensor networks: an overview. IEEE Potentials 22:20–30
Umeda Y, Tomiyama T, Yoshikawa H (1992) A design methodology for a self-maintenance machine. First international conference on intelligent systems engineering, 360: 179–184
Verdone R, Dardari D, Mazzini G, Conti A (2008) Wireless sensor and actuator networks. Elsevier, London
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Singh, S., Galar, D., Baglee, D. et al. Self-maintenance techniques: a smart approach towards self-maintenance system. Int J Syst Assur Eng Manag 5, 75–83 (2014). https://doi.org/10.1007/s13198-013-0200-7
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DOI: https://doi.org/10.1007/s13198-013-0200-7