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Nearline-PM for Manufacturing: Equipment Anomaly Detection

No wiring required for easy installation! Early detection of equipment anomalies reduces maintenance costs.

In the manufacturing industry, production stoppages due to equipment failures can lead to significant losses. In particular, abnormalities in rotating equipment such as motors, pumps, and fans require early detection. Nearline-PM continuously monitors the vibrations of these machines, capturing signs of potential failures and enabling planned maintenance. This reduces the risk of unexpected breakdowns and supports stable operations. 【Application Scenarios】 - Rotating equipment such as motors, pumps, fans, and compressors - Abnormality detection in bearings - Predictive maintenance of equipment 【Benefits of Implementation】 - Reduction in maintenance costs - Prevention of unexpected failures - Improved equipment condition monitoring and efficiency on-site

For more details on the wireless network vibration sensor system "Nearline-PM," click here.

basic information

【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 small-scale starts. - Supports high frequencies (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 Diagnosis Specialists*." *ISO 18436-2 compliant, Machinery Condition Monitoring Diagnostic Technicians (Vibration) 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering 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.

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Model number/Brand name

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

Applications/Examples of results

【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】 We have introduced our solutions to customers facing challenges such as sudden unexpected failures of rotating equipment (motors, pumps, fans, etc.), which can lead to manufacturing line stoppages and infrastructure service interruptions. ■ Difficult to predict unexpected failures ■ Dependence on individual expertise for maintenance work ■ Increased inspection workload ■ Difficulty in introducing wired sensors (installation, cost) ■ Significant impact from sudden equipment stoppages 【Implementation Effects】 ■ Trend monitoring has enabled the prediction of unexpected equipment failures ■ Quantitative management through vibration data has standardized the judgment of equipment normality/abnormality ■ As an automatic measurement system, it has reduced inspection workload and contributed to increased productivity ■ The small, wireless sensors allow for a small-scale start in installation ■ High-frequency measurements have 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.*

Wireless Network Vibration Sensor System “Nearline-PM” The Fusion of Vibration Diagnostic Expertise Backed by ISO-Certified Specialists and Wireless Monitoring

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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.