Sensitivity analysis using optimal experimental designs for system reliability study of active systems

Many researchers have modeled systems under multiple dependent competing failure processes (MDCFP) in recent years. Typically, those failure processes consist of degradation (soft failure) and random shock (hard failure). In previous papers the threshold of hard failure has been a fixed value, which does not reflect engineering practices. Threshold refers to the ability to resist external random shocks, which shifts with time as the system is used. Thus, this paper establishes a model for MDCFP with instant-shift hard threshold. The hard failure threshold changes with time instantaneously, and it is also influenced by external shocks. This paper also presents a system reliability model. The effectiveness of the presented model is demonstrated by a reliability analysis of the micro-engine at Sandia National Laboratories. In addition, a sensitivity analysis is performed for specific parameters.

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Importance and sensitivity analysis in assessing system reliability

Microelectronics Reliability ◽

10.1016/0026-2714(91)90429-b ◽

1991 ◽

Vol 31 (1) ◽

pp. 206

Keyword(s):

Sensitivity Analysis ◽

System Reliability

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APPROACHES TO SENSITIVITY ANALYSIS FOR SYSTEM RELIABILITY STUDY OF SMART STRUCTURES FOR ACTIVE VIBRATION REDUCTION

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539312500258 ◽

2012 ◽

Vol 19 (05) ◽

pp. 1250025 ◽

Cited By ~ 2

Author(s):

YING LI ◽

THOMAS PFEIFFER ◽

JÜRGEN NUFFER ◽

JOACHIM BÖS ◽

HOLGER HANSELKA

Keyword(s):

Sensitivity Analysis ◽

Active Vibration Control ◽

Vibration Reduction ◽

Smart Structure ◽

Structural Vibration ◽

Active System ◽

Reliability Study ◽

Active Vibration ◽

Weight Design ◽

Reliability And Robustness

The modern engineering products must fulfill the increasing requirements to the vibroacoustical behavior of the components and the system. For many applications such as automotive engineering, where light-weight design is desired, passive measures for noise and vibration reduction have reached certain limits. For this reason, active techniques for structural vibration reduction are becoming increasingly important in this field of applications. Commonly, actively or adaptively controlled structural systems consist of a large number of components with various functionalities. As the complexity of the systems increases, reliability and robustness studies become a more complicated task. The knowledge of parameter effects and their interactions is important for the reliability study and the design optimization of such systems. Sensitivity analysis can help the system designers to understand interactions between the system components and identify the important parameters with significant overall influences on the system performance. In this paper, several approaches to sensitivity analysis are applied for a smart structure system with active vibration control. Through these analyses, the influences of the system parameters and control algorithms on the performance of active vibration reduction are investigated. An improvement of the robustness of the active system by using adaptive control will be shown.

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