Condition monitoring for industrial motors
Unexpected machine failures require fast and expensive maintenance. Process down time is expensive. Manual condition monitoring is expensive, occasional or neglected.
Requirements
Our solution
captures vibration & other environmental data in real time through sensors installed on various components of industrial equipment like Turbines, pumps
Automated data collection: The ability to automatically collect data from multiple sensors and equipment and ensures that data is accurate and consistent.
generates insights to help predict downtimes and thereby enable customer to maintain systems health & equipment efficiency.
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.
processes the high volume, high frequency data to monitor, analyze & alert about machine condition.
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.
Results condition monitoring for industrial motors
The solution enabled more efficient and automated fault diagnosis. Timely preventive actions could be taken to avoid downtimes and improve productivity.
Real-time insights were easily made available to the end customers on a single platform that helped the Instrument Engineering company to offer Intelligence-as-a-service.
Build connected applications for your business
IoT Consulting
Strategy roadmap and consulting for transforming business models, solution architectures (micro-services based) for device management and operations.
Analytics & Insights
We develop analytics for our offered solutions, and generate actionable insights to optimize productivity. .
IoT Application Development
We provide end-to-end solutions by leveraging partner products/platforms and utilizing our domain expertise.
Edge to Cloud Engineering
Sensors, connectivity, connectivity protocols, edge analytics, interoperability. Communication protocols, message brokers, IoT security.
Enable digital twin capabilities
that allow to experiment with different process configurations & scenarios, using assets data simulated in a virtual environment.
IoT Integration & Implementation
We support you with IoT solution implementation to design solution architecture and model data processing environment for IoT data.
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