Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …

Effective intelligent fault diagnosis of rotating machinery using its vibrational signals has a
considerable influence on certain analysis factors such as the reliability, performance, and …

In this paper, one‐of‐a‐kind hybrid intelligence models based on the adaptive neuro‐fuzzy
inference system (ANFIS) the use of C‐mean fuzzy clustering (FCM), grid partitioning (GP) …

In this paper, a method for detecting the stator internal coil fault detection for a permanent
magnet synchronous motor (PMSM) using the ANFIS algorithm is proposed and described …

When applying non-supervised clustering, the concepts discovered by the clustering
algorithm hardly match business concepts. Hierarchical clustering then proves to be a useful …

Data information is significantly required in today's business decision. The electronic
devices play a vital role in making sure that an accurate information can be retrieved quickly …

Introducción: Para lograr elevados niveles de producción con calidad y con una utilización
eficiente de la materia prima, las industrias deben tener instalados sistemas de diagnóstico …

In this paper, a hybrid algorithm using fuzzy clustering techniques is proposed for
developing a robust fault diagnosis platform in industrial systems. The proposed algorithm is …