In this work, we show the influence of sensor system measurement uncertainties to sensor system reliability and ays to meet reliability targets. A general model to handle measurement uncertainties is defined and the according influence to reliability is presented, which is defined as probability of meeting specification requirements. Initial step is to optimize sensor systems concerning lowest influences of sensor system parameter fluctuations to the measurement uncertainty using statistical optimization methodologies. In case the influence of unknown nuisance parameters cannot be sufficiently suppressed, such parameters may be additionally measured in order to further reduce measurement uncertainties. The remaining uncertainties are again addressed using statistical optimization methodologies. Finally, measurement uncertainty also affects the reliability of such a system. For sensor systems in safety critical applications it may thus be required to include measures such as redundancy. This is also included in the investigations. Further examples for explained optimization methodologies of measurement uncertainty reduction are presented.
Our modern world is fully digitized: starting from consumer goods such as mobile phones, TVs and body scales, going to vehicles such as cars, airplanes and trains to automated production lines based on human-robot-interaction. All of these electronic devices need a way to interface to the real, physical world: commonly, sensor systems present a way to realize this interfacing. These sensor systems present the means for electronic systems to comprehend their environment. Depending on the application, it is more or less important that this comprehension is truthful and dependable. As soon as a physical quantity of interest and its representation (analog or digital) from sensor systems differ too much in value, this is either useless – in case of the smart watch which does not reliably sense our heart frequency – or dangerous in case of the accelerometer which is in charge of the airbag control. Sensor system reliability is thus a major concern, not only in terms of customer satisfaction, but also for safety reasons. In this work, we consequently present means to define and quantize reliability by introducing a general mathematical model.
Publisher : ELSEVIER
By : Wolfgang Granig, Lisa-Marie Faller, Hubert Zangl
File Information: English Language/ 12 Page / size: 676 KB
سال : ۱۳۹۶
ناشر : ELSEVIER
کاری از : ولفگانگ گرنج، لیزا ماری فالر، هابرت زنگل
اطلاعات فایل : زبان انگلیسی / 12 صفحه / حجم : KB 676