Condition monitoring for industrial motors
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Agriculture
- Equipment & Machinery
- Utilities
Applicable Functions
- Discrete Manufacturing
- Facility Management
- Field Services
- Maintenance
- Process Manufacturing
Use Cases
- Advanced Metering Infrastructure (AMI)
- Asset Health Management (AHM)
- Asset Lifecycle Management
- Machine Condition Monitoring
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
About The Customer
Customer is is an Indian motor company with expertise in manufacturing & design of customized electric motors and drives. Focused around Industrial automation, Energy saving & Pumping, they takes focused interest in technological innovations in electromagnetic mobility. Customer lays the foundations for an intelligent of smarter, reliable, and emission-free mobility, which is based on intramural technology. Customer offers powertrain solutions from 2Wheelers, 3 Wheelers, 4 Wheelers, buses and off road vehicles, designed to meet highest efficiency and power density.
The Challenge
- captures vibration & other environmental data in real time through sensors installed on various components of industrial equipment like Turbines, pumps
- generates insights to help predict downtimes and thereby enable customer to maintain systems health & equipment efficiency.
- processes the high volume, high frequency data to monitor, analyze & alert about machine condition.
The Solution
- Automated data collection: The ability to automatically collect data from multiple sensors and equipment and ensures that data is accurate and consistent.
- Dashboards: dashboards and reports that provide real-time insights into equipment health and performance. Cloud-based architecture - A cloud-based architecture provides the flexibility to scale up or down as required.
- Advanced analytics: The ability to apply advanced analytics techniques, such as machine learning, to the vibration data can provide deeper insights into equipment performance and health.
Data Collected
Asset Condition, Asset Performance, Asset Status Tracking, Device Diagnostic Status, Motor Metrics
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