Hmcomm Co., Ltd. (Headquarters: Minato-ku, Tokyo; President and CEO: Koji Mihon, hereinafter "Hmcomm") announces the provision of its AI-powered anomaly sound detection solution "FAST-D" to Shikoku Electric Power Company, Inc. (Takamatsu, Kagawa; President: Yoshihiro Miyamoto). "FAST-D" is an application that continuously monitors equipment operating sounds using AI, automatically creates outlier detection models, and captures early signs of anomalies. This initiative follows a joint verification conducted in fiscal year 2025, which confirmed the potential and effectiveness of detecting abnormal sounds caused by equipment issues without relying on human hearing or experience. Building on these verification results, the project aims to apply FAST-D to equipment monitoring operations while accumulating practical knowledge. Through this solution, Hmcomm will contribute to the safety and reliability of social infrastructure. [Features of the Sound-Based Equipment Monitoring Application "FAST-D"] FAST-D is an anomaly detection application developed independently by Hmcomm based on acoustic analysis technology. By pre-learning the normal operating sounds of equipment, the system can detect any deviations in real time during operation, enabling early identification of potential anomalies. Thanks to its AI-based self-learning capabilities, FAST-D flexibly adapts to the unique noise characteristics of each installation site, detecting subtle changes that are difficult to capture with conventional sensors or periodic inspections. FAST-D can be operated and monitored via PCs and tablets, helping reduce the workload of on-site personnel and accelerating maintenance operations. The system also supports cloud integration and remote monitoring, making it suitable for future multi-site deployments. [Overview of the Initiative] This initiative aims to continuously monitor equipment related to power generation. In such equipment, early signs of failure often manifest as unusual sound