外文翻译多传感器自我测量诊断系统.docxVIP

附录AA Multi-Sensor Based TemDerature Measuring System with Self-Diagnosis Abstract- A new multi-sensor based temperature measuring system with self-diagnosis is developed to replace a conventional system that uses only a single sensor. Controlled by a 16-bit microprocessor, each sensor output from the sensor array is compared with a randomly selected quantised reference voltage at a voltage comparator and the result is a binary “one” or “zero”. The number of “ones” and “zeroes” is counted and the temperature can be estimated using statistical estimation and successive approximation. A software diagnostic algorithm was developed to detect and isolate the faulty sensors that may be present in the sensor array and to recalibrate the system. Experimental results show that temperature measurements obtained are accurate with acceptable variances. With the self- diagnostic algorithm, the accuracy of the system in the presence faulty sensors is significantly improved and a more robust measuring system is produced. Index Terms-Instrumentation and Measurement, Sensors.Transducers I. INTRODUCTION Conventional sensing system uses a single sensor to convert a measured into an electric signal. There is no built-in redundancy and the system is wholly dependent on the single sensor for its accuracy. Recently, a novel approach proposed by the author in [l] makes use of the principles of successive approximation and statistical estimation to provide a simple yet accurate estimate of the measured with only a small number of sensors. Replacing the single sensor with a multi-sensor array also improves the robustness of the system reducing system dependency on any single sensor. The system is still functional even with a few faulty sensors, though there will be a degradation in the accuracy of the results. To overcome the degradation in the accuracy due to the presence of fault