Case Study: Avoiding Losses through Early Detection of Exhaust Fan Failure Signs
Realized predictive monitoring of exhaust fan equipment failures. Detected inner race damage in bearings through vibration analysis, preventing unexpected failures and avoiding losses of tens of millions of yen through maintenance.
A case study of CBM utilizing IoT for exhaust fan equipment in a chemical plant. Vibration sensors were installed on the exhaust fan equipment, and vibration frequency analysis was conducted. As a result, the inner race damage component of the bearing was detected, enabling early detection of failure precursors (damage to the inner race and rolling elements of the bearing) and allowing for the avoidance of losses in advance.
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Related Product: Rotating Machinery Fault Prediction Monitoring System Wiserot The Rotating Machinery Fault Prediction Monitoring System Wiserot is a system that enables preventive maintenance for rotating machinery and motor-related equipment. By regularly measuring the vibrations of rotating machinery operating on production lines and as critical equipment, it contributes to the early detection of abnormal signs through trend monitoring, allowing for the planning of appropriate preventive maintenance and reducing production loss costs.
Applications/Examples of results
**Case Study: Early Detection of Exhaust Fan Failure Precursors to Avoid Losses** - Industry: Manufacturing (Chemical Plant) - Implemented Product: Rotating Machinery Failure Precursors Monitoring System Wiserot - Target Equipment: Exhaust Fan Equipment **Implementation Effects** Due to excessive bearing vibration, a vibration frequency analysis was conducted, resulting in the detection of inner race damage components in the bearing. Following this result, maintenance was performed, confirming damage to the inner race and rolling elements of the bearing. This enabled the early detection of failure precursors (bearing abnormalities), allowing for planned maintenance that avoided losses amounting to tens of millions of yen.
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Motor preventive maintenance and rotating machinery failure prediction monitoring system
Survey on Equipment Maintenance and Smartization in the Manufacturing Industry (Chemical Industry and Petroleum)
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Providing solutions for various plants and factories such as food, chemicals, oil and gas pipelines, paper and pulp, and cleaning facilities. Our measurement and control systems have over 40 years of history since the launch of the first distributed control system in 1975. Based on our track record, we propose systems and solutions to support the latest technologies, IoT utilization, and the development of smart factories. - Steam generation heat pumps / waste heat utilization / visualization of thermal energy - Clamp-on steam flow meters / flow meters / flow sensors / thermal balance analysis - Industrial furnaces / electric furnaces / high-frequency induction furnaces / IGBT power supplies - Gas analyzers / gas measurement devices / gas analysis sensors - Predictive maintenance / anomaly detection maintenance / preventive maintenance / maintenance and prevention systems / smart security - Smart factory - MES / DCS / SCADA / edge controllers - EMS / energy management systems / visualization of energy - Smart glasses / remote work support systems - Multivariate analysis / MSPC - Engineering tools
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