Reliability Assessment of Memristor based Gas Sensor Array

Sensors are an essential part of every intelligent monitoring system. Memristor based gas sensor devices are rapidly emerging due to offering various advantages and are providing a wide range of applications in the next generation technologies. Moreover, memristor based gas sensor arrays are used to minimize measurement errors. Reliability is one of the key aspects of such arrays/structures. This article provides a new framework for reliability assessment of a memristor based sensor array by considering the probability of the chip to have optimal sensing responses when faults/defects affect the array. The Markovian model is proposed for the reliability assessment in both cases with and without spare rows. Constant fault rate is estimated over the period to guarantee that the fault model does not alter. Furthermore, Mean Time To Failure (MTTF) is also evaluated which shows how the productive process affects life time of the device. The proposed assessment framework is appropriate to analyze the reliability for different fault models, architectures and arrays including the redundancy allocations.