The recent wave of digitalization is characterized by the widespread deployment of sensors
in many different environments, eg, multi-sensor systems represent a critical enabling …

The goal of this work is to detect flaw formation in the wire-based directed energy deposition
(W-DED) process using in-situ sensor data. The W-DED studied in this work is analogous to …

Accident prevention is one of the most desired and challenging goals in process industries.
For accident prevention, fault detection and diagnosis (FDD) is critical. FDD has been an …

Purpose–Monitoring of a process leading to the detection of faults and determination of the
root causes are essential for the production of consistent good quality end products with …

Over the past two decades, there has been a notable increase in the complexity and
dynamism of industrial and manufacturing systems. Traditional fault detection strategies …

Multisensor anomaly detection plays a crucial role in several applications, including
industrial monitoring, network-intrusion detection, and healthcare monitoring. However, the …

Process monitoring techniques are of paramount importance in the chemical industry to
improve both the product quality and plant safety. Small or incipient irregularities may lead to …

This paper presents a new integrated methodology for fault detection and diagnosis. The
methodology is built using the multivariate exponentially weighted moving average principal …

Attribute charts are used widely for monitoring binary events in manufacturing, service, and
healthcare processes. While Shewhart type charts are efficacious in detecting large or …

Process monitoring has played an increasingly significant role in ensuring safe and efficient
manufacturing operations in process industries over the past several years. Chemical …