【Features】 - Utilizes battery-operated wireless sensors, eliminating the need for wiring work. - Enables near-continuous monitoring with automatic measurements once a day as standard; measurement frequency can be set as desired. - Can be retrofitted, making it suitable for a small start. - Supports high frequency (17kHz) to detect initial abnormalities in bearings. - Despite being a compact sensor, it has a long battery life of approximately 5 years. - Achieves easy operation and diagnostics through a dedicated app. - Technical support provided by our "Certified Vibration Diagnostic Specialists*." *ISO18436-2 compliant, Machinery Condition Monitoring Diagnostic Technicians (Vibration) 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering services from design and construction to maintenance. We conduct design, procurement, and construction (EPC) with maintenance in mind and propose appropriate maintenance based on design data. We also develop diagnostic equipment for facilities utilizing digital technology.

Wireless Network Vibration Sensor System "Nearline-PM" [Enables proactive measures before failure by predicting equipment anomalies]

【Implementation Results】 We have implemented our solutions in over 300 facilities across various industries, including chemicals, power, automotive, steel, semiconductors, paper, food, shipbuilding, and maritime. 【Challenges and Background Before Implementation】 Customers facing issues such as sudden unexpected failures of rotating equipment (motors, pumps, fans, etc.) that lead to manufacturing line stoppages and infrastructure service interruptions have adopted our solutions. ■ Difficulties in predicting unexpected failures ■ Dependence on specific personnel for maintenance tasks ■ Increase in inspection workload ■ Challenges in implementing wired sensors (installation, cost) ■ Significant impact from sudden equipment shutdowns 【Implementation Effects】 ■ Predicting unexpected equipment failures has become possible through trend monitoring ■ Standardization of normal/abnormal equipment judgment has been achieved through quantitative management using vibration data ■ The automated measurement system has reduced inspection workload, contributing to increased productivity ■ The small, wireless sensors allowed for a small-scale start in installation ■ Measurement in high-frequency bands has enabled the detection of initial abnormalities in bearings, allowing for planned maintenance responses *For more details, please download the PDF document or feel free to contact us.*