| I&T Solution |
Automated Fault Detection and Diagnostics System for Seawater Pump
(REF: S-1763) |
| Trial Project |
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| Solution Feature |
- Anomaly Detection: utilizes advanced algorithms to detect anomalies, such as deviations from normal operating conditions, that could indicate the presence of a fault or impending failure.
- Predictive Maintenance Scheduling: Based on the fault diagnostics, the system can predict the maintenance needs of the seawater pump and schedule proactive maintenance activities. This helps to prevent unexpected breakdowns, reduce downtime, and optimize the pump's lifecycle.
- Automated Notification and Reporting: The system automatically notifies the relevant personnel about the detected faults and the recommended actions. It also generates comprehensive reports on the pump's performance, maintenance history, and optimization opportunities.
- Integrated Data Visualization and Trending: The system provides a user-friendly interface with data visualization tools, such as graphs, charts, and dashboards. These visualizations help operators and maintenance staff to better understand the seawater pump's performance, identify trends, and make informed decisions.
- Customizable Thresholds and Alerts: The system allows users to configure custom thresholds and alert parameters for different sensor data and fault conditions. This enables the system to be tailored to the specific operating requirements and preferences of the seawater pump.
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| Trial Application and Expected Outcome |
- Accurate Prediction of Component Conditions and Data-Driven Decision Support: Utilize multi-source data (sensor data, operational history, maintenance records) and AI models to accurately predict seawater pump component conditions, including wear, aging, and potential failures. Utilizing multimodal and attention mechanism-based technique to enhance accuracy. Provide suggestions on maintenance and replacement plans.
- Quantification of Fault Severity and Urgency: Classify faults to quantify their severity and urgency. Use anomaly detection algorithms to dynamically assess fault risks based on historical and real-time data, helping maintenance personnel develop prioritized maintenance plans.
- Early Warning Mechanism: Develop an early warning system based on time series analysis and prediction models to issue alerts as soon as problems begin, preventing deterioration. Achieve real-time monitoring and anomaly detection through automated system data flow monitoring, promptly identifying and reporting abnormalities.
- Easy Installation and No Impact on System Operation: Design sensors and monitoring equipment that are easy to install, ensuring a simple process without affecting seawater pump operation. Develop a wireless sensor network to reduce wiring needs, enhancing flexibility and scalability.
- Visualization and Report Generation: Develop a visualization dashboard for intuitive data presentation and analysis results, helping maintenance personnel quickly understand and assess system conditions. Automatically generate maintenance reports.
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| Info on I&T Solution Provider |
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