智能电子系统中地应力测量的采集单元

Alicja Palczynska, F. Pesth, P. Gromala, T. Melz, D. Mayer
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引用次数: 7

摘要

如今,汽车工业中使用的电子系统在一个单元内整合了各种功能和特性。这种智能系统由标准IC封装、传感器和执行器组成。这类系统需要使用15年左右。为了确保正确的功能,可以使用预后和健康监测(PHM)方法。实施这些方法的潜在好处包括减少维护成本和对可能的故障进行早期预警。对于汽车工业,其典型的负荷历史不是充分了解,这似乎是合适的方法。在目前的可靠性模型中,必须对典型负载历史进行一些假设,这导致对剩余使用寿命的估计不准确。但是,在PHM方法中,人们希望对故障进行预测,以便在适当的时候进行维护。本文研制了一种新型智能系统模块的内应力原位测量采集单元。它允许同时记录来自芯片表面不同位置的多个压阻传感器的应力。由于计划中的测量将在智能系统组装在发动机舱时进行,因此要求采集单元是便携式的,并且不受恶劣条件的影响。测量结果将用于监测实际工作条件下应力大小的演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acquisition unit for in-situ stress measurements in smart electronic systems
Nowadays electronic systems used in automotive industry consolidate a variety of functionalities and features within one unit. Such smart systems consist of standard IC packaging, sensors and actuators. It is required that such systems will survive about 15 years of usage. To assure correct functionality prognostic and health monitoring (PHM) methods can be used. The potential benefits from implementation of these methods include among others reduction of maintenance costs and early warning of possible failure. For automotive industry, for which typical load history is not sufficiently known, this seems to be suitable approach. In today's reliability models some assumptions about the typical load history have to be made, which leads to inaccurate estimations on the remaining useful life. Though, in PHM approach one wants to make a prognosis of a failure so that maintenance can be done at the appropriate time. In this paper, the acquisition unit for in-situ measurements of internal stresses in a novel smart system module is developed. It allows recording the stresses from multiple piezoresistive sensors, at different locations on a surface of a chip, at the same time. As the measurements, that are planned, will be conducted when the smart system is assembled in the engine compartement, it is required that the acquisition unit is portable and immune to harsh conditions. The results of the measurements will be used to monitor the evolution of stress magnitudes in real work conditions.
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