Due to the advances in the digitalization process of the manufacturing industry and the
resulting available data, there is tremendous progress and large interest in integrating …

This paper presents an overview of two maintenance techniques widely discussed in the
literature: time-based maintenance (TBM) and condition-based maintenance (CBM). The …

The rolling bearings play a vital role in mechanical production and transportation. However,
when it appears abnormal, the fault characteristics are weak and different to be extracted in …

In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

The quality of rolling bearings is vital for the working state and rotation accuracy of the shaft.
Timely and accurately acquiring bearing status and early fault diagnosis can effectively …

Fault diagnosis of rotating machinery is receiving more and more attentions. Vibration
signals of rotating machinery are commonly analyzed to extract features of faults, and the …

In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. Although the number of existing architectures is nearing several hundred …

In support vector machine (SVM), it is quite necessary to optimize the parameters which are
the key factors impacting the classification performance. Improved ant colony optimization …

Deep learning based intelligent fault detection for mechanical equipment has become an
important research fields. However, due to various equipment and working conditions, it is …