Fault Classification and Detection Using Artificial Intelligence

Dear Colleagues,

In order to run machine operations smoothly, machine faults need to be detected, located, and classified quickly. For this, artificial neural network approaches are considered significant tools in related applications of machine operations. Faults can occur in any machine or operation. They need to be identified in a timely manner, or else they can cause severe damage to operations. This special issue focuses on fault detection and classification using an intelligent approach of artificial neural networks applied to different sectors. The Special Issue will provide a single platform for researchers and industrialists to find research related to applications of AI for fault classification and detection in different sectors.

In this Special Issue, we invite submissions exploring cutting-edge research and recent advances in the area of fault classification and detection using artificial intelligence. We welcome both theoretical and experimental studies in this area that will be beneficial to the readers.

Dr. Tahir Abdul Hussain Ratlamwala
Prof. Dr. Khurram Kamal
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.