旭化成エンジニアリング Official site

Nearline-PM for Data Centers

Early detection of server anomalies to reduce downtime.

In a data center, the stable operation of servers is the most important issue. Abnormal vibrations from server cooling fans and power units can lead to system shutdowns. Nearline-PM continuously monitors the vibrations of these devices and detects abnormalities early, preventing downtime before it occurs. 【Usage Scenarios】 - Server rooms - Cooling fans and power units in data centers - 24/7 operational monitoring 【Benefits of Implementation】 - Stable operation of servers - Reduced risk of system shutdowns - Lower operational costs

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

basic information

**Features** - Battery-operated wireless sensor, no wiring required - High frequency support (17kHz) for detecting initial abnormalities in bearings - Compact sensor with a long battery life of approximately 5 years - Easy operation and diagnostics via a dedicated app - Technical support from qualified vibration diagnostics professionals **Our Strengths** Asahi Kasei Engineering Corporation provides comprehensive engineering services from design and construction to maintenance, offering total support for our customers' equipment. Our company not only introduces vibration sensors but also features technicians who have been involved in actual vibration diagnostics, providing support based on how equipment is used and addressing points that may cause confusion in decision-making. In recent years, in addition to factory equipment, we have also started vibration monitoring and diagnostic services for ships, with engineers holding ISO 18436-compliant vibration diagnostic qualifications. We hope to be a resource you can remember when questions arise, such as, "How should I consider this case?" or "Is the current monitoring method sufficient?"

Price range

Delivery Time

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 implemented our solutions for customers facing challenges due to sudden unexpected failures of rotating equipment (motors, pumps, fans, etc.), which can lead to issues such as manufacturing line stoppages and infrastructure service interruptions. ■ Difficult to predict unexpected failures ■ Dependence on individual expertise for maintenance work ■ Increased inspection workload ■ Difficulties in introducing 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 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 ■ 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.*

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

PRODUCT

Recommended products

Distributors

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.