Abstract
<title>Abstract</title> <p>Industrial facilities operating in remote environments frequently experience micro power interruptions and transient voltage disturbances that affect the stability of Variable Speed Drives (VSDs), critical motors, and sensitive industrial processes. Conventional backup systems based on batteries or diesel generators often suffer from response delays, maintenance constraints, and limited dynamic compensation capability [1]. This paper proposes a conceptual AI-assisted Linear Electromagnetic Inertia System (LEIS) capable of operating as both a linear motor and a temporary electromagnetic generator during network disturbances. Inspired by the principles of magnetic levitation technologies used in Japanese Maglev trains [2] and the inertial continuity principles historically studied by Galileo Galilei [3], the proposed system utilizes stored electromagnetic and kinetic energy to maintain short-term power continuity during micro-interruptions, as developed in the author's previous doctoral research [111]. Artificial Intelligence (AI) algorithms supervise disturbance detection, mode transition, and adaptive energy management [4]. The proposed architecture targets industrial microgrids, oil and gas facilities, smart farms, and remote desert installations where high reliability and fast dynamic response are essential. The study discusses the theoretical framework, system architecture, operational principles, industrial applications, advantages, and technical limitations of the proposed approach</p>