NDLI: Robustness study and reliability growth based on exploratory design of experiments and statistical analysis: a case study using a train door test bench

Content Provider	Springer Nature Link
Author	Cauffriez, Laurent Loslever, P. Caouder, N. Turgis, F. Copin, R.
Copyright Year	2012
Abstract	This paper presents a methodology to improve the reliability/robustness of a complex mechatronic system for passenger access, which is greatly stressed over its life cycle. The proposed methodology aims to weed out design problems during the development phase and to test the robustness of the passenger access system under operating conditions as close to the real service conditions as possible. The empirical study process is based on an experimental design series in order to cover a complex experimental domain in a reasonable number of tests for each experimental design. The exploratory aspect that stands in the experimental stage also stands in the data analysis stage thanks to a descriptive multivariate approach that reduces the initial information as less as possible. An application concerning the passenger access system for a train is presented. The experimental process is mainly based on the D-optimal design and is used with a 1:1 scale test bench. An example with five input factors is presented; the output data consist in a multidimensional signal containing open/close cycles that may be perturbed. The statistical analysis process starts by considering a scale windowing while beeping both time and multivariate aspects. The frequency values are then investigated using multiple correspondence analysis. Advantages and disadvantages of the proposed design of experiments and data analysis are discussed.
Starting Page	27
Ending Page	44
Page Count	18
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	66
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-07-06
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Design of experiments Reliability growth Robustness validation D-optimal design Scale windowing Multiple correspondence analysis Train door system Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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