Work Order Management in Otoni AI
Otoni AI’s work order management module offers many benefits, making it easy to manage and report on all types of work, including planned, predictive, remedial, and reactive maintenance. Some of these benefits are listed below; 1. Automated Work Order Creation: The system creates work orders automatically using sensor data, planned maintenance schedules, or service requests. […]
Vibration in Condition Monitoring
Vibration plays a crucial role in condition-based monitoring (CBM), particularly for rotating machinery such as motors, pumps, fans, and gearboxes. It serves multiple purposes and is highly effective for monitoring. Vibration monitoring involves measuring the oscillations of a machine or component over time. These oscillations can reveal a lot about the machine’s health, especially when […]
Thresholds in Condition-Based Monitoring
Setting thresholds is a crucial aspect of condition-based monitoring, enabling you to track your equipment’s performance and receive alerts when a specified threshold is breached. At Otoni AI, we utilise the ISO 10816 standard to establish these thresholds. This multi-part international standard provides guidelines for evaluating the mechanical vibration of machines using measurements taken from […]
Predictive Analytics: What It Is and Why It Matters for Operational Performance
Predictive analytics isn’t just about data – it’s about foresight. Discover how using historical patterns and real-time insights can help you reduce downtime, cut costs, and make smarter decisions before issues arise.
FMEA: The Risk Tool That Helps You Act Before Things Go Wrong
FMEA helps you identify, prioritise, and act on the risks that matter most. Find out how this structured approach supports better decisions, stronger reliability, and a proactive mindset – before failure becomes costly or dangerous.
Machine Learning: A Revolution in Maintenance
Machine learning is revolutionising predictive maintenance across asset-intensive industries. From cutting downtime to forecasting failures with high accuracy, discover how this tech is reshaping maintenance and giving engineers the power to stay ahead.