Analytic and linear prognostic model for a vehicle suspension system subject to fatigue

Abstract

Recent developments in system design technology, such as in aerospace, defense, petro-chemistry and automobiles, are represented earlier in the literature by simulated models during the conception step and this is to ensure the high availability of the industrial systems. Given that the integration of diagnostic–prognostic models in these industrial systems is facilitated by these developments. In fact, the monitoring of the degradation indicators is used indirectly in failure prognostic models and is just a measurement of an unwanted situation. Therefore, the diagnostic is not only a failure detection procedure but it also indicates the actual state and the history of the system. Hence, a predictive maintenance is done by the subsequent prognostic model. Consequently, from a predefined threshold of degradation, the remaining useful lifetime is estimated. Based on a physical dynamic vehicle suspension system, this research paper elaborates a procedure to create a failure prognostic model. I will adopt here analytic laws of degradation such as the Paris–Erdogan law for fatigue degradation and the Palmgren–Miner law for cumulative damage instead of applying degradation abaci largely used in prognostic studies.