Dear colleagues,

Every controlled process has sensors, actuators, controller hardware, and the process itself. Ideally, the operation of the plant should be in accordance with the desired objectives after the efficient design of a controller. However, due to the malfunctioning of sensors, actuators and/or deterioration of plant equipment; faults are developed. Sensor fault are commonly observed in processes. These result in degradadtion of the system performance, which can lead to catastrophic consequences. Sensor fault include bias, drift, sensor freezing, calibration error etc.The early detection and identification of sensor faults is the most important aspect to ensure the reliability of the process. There exist many approaches for sensor fault diagnosis. These include model based fault diagnsos and process data based fault diagnosis. The Model-based fault diagnosis is further classified as Analytical model-based fault diagnosis and Knowledge-based fault diagnosis. Fault diagnosis using process data include Statistical data based fault diagnosis and Multivariate analysis techniques.

It is worth noting that process monitoring and fault diagnosis receive considerably enhanced attention, both in the engineering and in the research domains. However, practical processes still continuously pose new challenges due to quality requirements, safety and complex dynamics, performance evaluation, diagnosis, and maintenance, fault diagnosis of sensors is still a demanding area and need further investigation.

This section will serve to provide a plateform for researcher to share their updated reserach in the area of sensor fault diangosis on one hand and get familirized with the findings of fellow colleagues on the other hand.