Predictive maintenance
AI solution designed to predict and prevent machinery malfunctions and failure events in real time.
Built to enhance asset maintenance, it minimizes unplanned downtime and optimizes maintenance costs by providing early detection and proactive insights into machinery status.
Benefits
Minimize unplanned downtime
Detect issues early to prevent sudden breakdowns and avoid costly interruptions
Reduce maintenance costs
Cut labor and parts replacement costs by targeting only what needs attention
Extend equipment lifespan
Identify performance degradation early and improve long-term asset health
Improve safety & operational efficiency
Reduce risk of equipment failure and ensure smooth production flow
Solutions
Description
- An end-to-end solution to predict and prevent machinery malfunctions & failure events. Our AI-backed technology can identify common root causes in advance
- Supporting data types: Sound, Vibration and Temperature
Functions
- Detect abnormalities in machinery operations through data analysis
- Provide early warnings of potential failures or downtimes to enable timely intervention
- Continuously monitor machine and system health to ensure operational efficiency
- Generate maintenance recommendations to support optimized scheduling and asset longevity
Technologies
- Python, Long-Short-Term Memory, CNN, TensorFlow, Keras, Scikit-learn
- Azure Cloud, IoT Hub, Data Lake