Nearline-PM for Manufacturing Industry
Wireless Network Vibration Sensor System "Nearline-PM" [Enables proactive measures before failures by predicting equipment abnormalities]
No wiring work required! Detects equipment vibrations and enables predictive maintenance.
In the manufacturing industry, production stoppages due to equipment failures can lead to significant losses. In particular, rotating machines such as motors, pumps, fans, and compressors often exhibit abnormal vibrations as signs of impending failure, making early anomaly detection crucial. Nearline-PM addresses these challenges by using wireless vibration sensors for equipment vibration diagnostics, enabling early detection of abnormalities and facilitating planned maintenance. This reduces the risk of production stoppages due to unexpected failures and helps establish a stable production system. 【Use Cases】 * Anomaly detection for rotating machines such as motors, pumps, fans, and compressors * Abnormality detection in bearings * IoT implementation for equipment 【Benefits of Implementation】 * Reduction in maintenance costs * Prevention of unexpected failures * Improved equipment status verification and efficiency on-site
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【Features】 * Utilizes battery-operated wireless sensors, eliminating the need for wiring work. * Capable of 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 small-scale starts. * Supports high frequencies (17kHz) to detect initial abnormalities in bearings. * Despite being a compact sensor, it has a long battery life design of approximately 5 years. * Easy operation and diagnostics achieved through a dedicated app. * Technical support provided by our "Certified Vibration Diagnostics Specialist*." * *ISO 18436-2 compliant Machinery Condition Monitoring Diagnostic Technician (Vibration). 【Our Strengths】 Asahi Kasei Engineering Corporation offers 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. Additionally, we can propose information systems that not only focus on maintenance but also consider production efficiency and reduction of production losses.
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【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. ■ Difficult to predict unexpected failures ■ Maintenance work is overly reliant on specific individuals ■ Increased inspection workload ■ Difficulties in introducing wired sensors (installation, cost) ■ Significant impact from sudden equipment stoppages 【Implementation Effects】 ■ Predicting unexpected equipment failures has become possible through trend monitoring ■ Standardization of normal/abnormal equipment judgment has been achieved through quantitative management of vibration data ■ The automatic measurement system has reduced inspection workload, contributing to increased productivity ■ The small, wireless sensors allowed for a small-scale start in installation ■ High-frequency measurements 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.*
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Asahi Kasei Engineering Corporation is a company that conducts design, procurement, and construction (EPC) with an eye toward maintenance, and also proposes appropriate maintenance based on design data. In addition to maintenance, it is also possible to propose information systems that consider production efficiency and production losses. In terms of maintenance, we are developing equipment diagnostic devices that utilize digital technology.






