Fault diagnosis plays an important role in complex and safety-critical systems such as
nuclear power plants (NPPs). With the development of artificial intelligence (AI), extensive …

Traditional fault diagnosis methods based on signals and operation procedures in small
pressurized water reactors (SPWRs) exhibit low efficiency. Complex alarm signals cannot be …

Harnessing the power of artificial intelligence (AI) for rapid and accurate cancer diagnosis is
invaluable for medical practice, but technically challenging due to the low sensitivity and low …

In dry turning operation, various parameters influence the cutting force and contribute in
machining precision. Generally, the numerical cutting models are adopted to establish the …

Currently, most aircraft skin crack inspections are done by naked-eye vision and video
instrumentation, but a single vision inspection can only provide partial information and …

Design, Modeling and Optimization of Reciprocating Tubular Permanent Magnet Linear
Generators for Free Piston Engine Applications Abstract Permanent Magnet Linear …

Cutting tool temperature is generally classified as the most important technological
parameters in machining processes due to their significant impacts on the product quality. A …

The idea of dimensional raising and linearization in support vector machine (SVM) provides
a new solution for the diagnosis problem of reciprocating compressor in which the spatial …

The demand for cost effective, reliable and safe machinery operation requires accurate fault
detection and classification. These issues are of paramount importance as potential failures …

This chapter describes several methodologies and proposed models used to examine the
accuracy and efficiency of high-performance colon-cancer feature selection and …