Maintenance strategies have been playing an increasingly important role in improving
engineering systems' performance, supporting the growth of availability and reliability, and …

Dynamic information is a non-negligible part of time-correlated process data, and its full
utilization can improve the performance of fault detection. Traditional dynamic methods …

Traditional graph-based dynamic fault detection methods describe the dynamic
characteristic through constructing a single neighborhood graph at the current sample with …

This study explores the use of the nonlinear principal component analysis (NLPCA)
technique for detecting gas turbine faults. The resurgence of interest in neural network …

Unpaired image dehazing (UID) holds significant research importance due to the challenges
in acquiring haze/clear image pairs with identical backgrounds. This paper proposes a novel …

In this article, an integrated design diagram for a stable kernel representation (SKR)-based
data-driven fault detection (FD) system and performance criteria is proposed for stochastic …

Quality‐related fault detection has become a hot research topic in recent years. It is not
reliable to measure quality‐related relationships only by mutual information among process …

Pattern identification and classification in complicated systems are difficult. This study uses
optical character recognition (OCR) to digitize handwritten data. OCR segments and …

Textual data mining is used to anticipate the sentiment of a user based on a similar book.
Using conditional probability distributions, the rating similarity between books can be …