Detection, Prevention, and Monitoring Techniques for Industrial Equipment – a brief review

Within the modern industry, the analysis and critical evaluation of existing techniques for the detection, prevention, and monitoring of industrial equipment are essential aspects for improving performance and operational efficiency. This study investigates innovative methods designed to enhance the reliability and accuracy of defect detection, with the main goal of optimizing maintenance programs and preventing failures within production processes. The analysis will focus on a diverse range of techniques, including methods based on signal acquisition and analysis, artificial intelligence, audio analyses, and image processing, as well as vibration analyses and other relevant techniques. Through comparison and critical evaluation of these techniques, this paper aims to provide a deep understanding of the advantages and limitations of each approach, as well as the context in which they are applicable in industrial practice. Through this study, a series of methods and technologies are pursued that contribute to the strengthening of knowledge in the field of monitoring industrial equipment and identifying future directions for research and development, aimed at the continuous improvement of performance and reliability.