Homborg, A.M., Tinga, T., van Westing, E., Zhang, X.: A critical appraisal of the interpretation of electrochemical noise for corrosion studies. Homborg, A.M., Leon Morales, C.F., Tinga, T., de Wit, J.H.: Detection of microbiologically influenced corrosion by electrochemical noise transients. (eds.) Proceedings of the European Conference of the Prognostics and Health Management Society, pp. Tinga, T., Loendersloot, R.: Aligning PHM, SHM and CBM by understanding the system failure behaviour. Safety & Reliability - Theory and Applications, pp. (eds.) Proceedings of the 27th European Safety and Reliability Conference (ESREL). Tinga, T., Tiddens, W.W., Amoiralis, F., Politis, M.: Predictive maintenance of maritime systems. Finally, the practical implementation of the presented approaches is discussed by showing a number of case studies in different sectors of industry. The presented tools assist in this selection process. As a large number of methods and techniques are available, the selection of the most suitable method, as well as the critical parts in a system, is a challenging task. After discussing the approaches for monitoring and prognostics, a series of decision support tools is presented. Both the structural health monitoring methods and the prognostic concepts presented are based on a thorough understanding of the system and physical failure behaviour. These challenges will be addressed by the methods and tools discussed in the remainder of the chapter. Firstly, several challenges in the field of predictive maintenance are presented. This chapter addresses the development and application of predictive maintenance concepts for several types of assets, following two approaches: (1) detection and prediction of failures based on (real-time) monitoring the health or condition of the systems, and (2) prediction of failures (prognostics) using physical failure models and monitoring of loads or usage.
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