TY - CONF AB - Intelligent mechatronic systems other the possibility to adapt system behavior to current dependability. This can be used to assure reliability by controlling system behavior to reach a pre-defined lifetime. By using such closed loop control, the margin of error of useful lifetime of an individual system is lowered. It is also possible to change the pre-defined lifetime during operation, by adapting system behavior to derate component usage. When planning maintenance actions, the remaining useful lifetime of each individual system has to be taken into account. Usually, stochastic properties of a fleet of systems are analyzed to create maintenance plans. Among these, the main factor is the probability of an individual system to last until maintenance. If condition-based maintenance is used, this is updated for each individual system using available information about its current state. By lowering the margin of error of useful lifetime, which directly corresponds to the time until maintenance, extended maintenance periods are made possible. Also using reliability-adaptive operation, a reversal of degradation driven maintenance planning is possible where a maintenance plan is setup not only according to system properties, but mainly to requirements imposed by maintenance personnel or infrastructure. Each system then adapts its behavior accordingly and fails according to the maintenance plan, making better use of maintenance personnel and system capabilities at the same time. In this contribution, the potential of maintenance plan driven system behavior adaptation is shown. A model including adaptation process and maintenance actions is simulated over full system lifetime to assess the advantages gained. AU - Meyer, Tobias AU - Kaul, Thorben AU - Sextro, Walter ID - 9949 KW - Adaptive systems KW - Reliability analysis KW - Availability KW - Adaptive control KW - Maintenance KW - Self-optimizing systems KW - Self-optimizing control KW - Stochastic Petri-nets T2 - Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes TI - Advantages of reliability-adaptive system operation for maintenance planning ER - TY - CONF AB - Haushaltsgeräte aus der Klasse der "Weißen Ware" tragen mit etwa einem Drittel ($34,2%$ \citeBDEW2013) zum privaten Energieverbrauch bei. Diese Veröffentlichung präsentiert eine Struktur und die dafür notwendige optimale Betriebsstrategie für Weiße Ware in einer Umgebung mit Strompreisen, die wegen der Volatilität der Regenerativen Energien stark fluktuieren. Das vorgeschlagene Konzept nutzt dafür ein dezentrales Energiemanagementsystem, das über drei Hierarchieebenen verteilt ist: die Geräteebene, die Haushaltsebene und die Ortsnetzebene. Auf der Geräteebene nutzt dieses Konzept zusätzlich Betriebsflexibilitäten der Haushaltsgeräte aus. AU - Stille, Karl Stephan Christian AU - Böcker, Joachim AU - Bettentrup, Ralf AU - Kaiser, Ingo ID - 29973 KW - Energy management KW - hybrid energy storage system KW - self-optimization KW - multi-objective optimization KW - adaptive systems KW - pareto set KW - SFB614-D1 KW - SFB614-D2 KW - LEA-Publikation KW - Eigene T2 - ETG-Fachtagung "Von Smart Grids zu Smart Markets" TI - Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten ER -