Abnormal valve positions can lead to fluctuations in the process industry, potentially
triggering serious accidents. For processes that frequently require operational switching …

Oscillation in control loops is a frequent problem in the process industries. These oscillations
directly impact product quality, leading to a decreased plant profit. Additionally, oscillations …

A rolling bearing fault diagnosis method based on Markov transition field (MTF) and the
pyramid cascade multidimensional convolutional neural network (PC-MDCNN) model is …

In this study, a novel damage identification method based on feature transferable digital
twins is proposed to improve the damage identification accuracy of truss bridges …

Control valves play a vital role in process production. In practical applications, control valves
are prone to blockage and leakage faults. At the small control valve openings, the vibration …

Abnormal events in chemical processes present significant challenges, often disrupting the
performance of industrial operations. Accurate detection and diagnosis of abnormal …

Kumar's impactful work spread over four decades has spanned several areas including fluid
mechanics, computational fluid dynamics, microfluidics, separation processes, process …