Some of Our Knowledge

Predictive maintenance using AI can prevent equipment failures by predicting when maintenance is needed. Rule-based systems use hard-coded thresholds, while ML-based systems use advanced analytics to…

Integration of condition monitoring systems into existing systems, such as SCADA, DCS, PLC, and RTU, is crucial to the success…

The integration of IoT and SaaS products into existing systems is a challenging task, as companies need to merge their old and new technologies together. The technical skills of the business, the…

Sensemore offers end-to-end cloud service for machine health monitoring and predictive maintenance, but also able to respond to…

Bearings are critical elements in rotating machines, they support radial and axial loads, and reduce friction. Real operational lifetimes of bearings are shorter than expected, due to factors such as…

Cepstral Analysis, a tool used to detect periodicity in frequency spectrum, can be useful in gearbox fault detection in vibration analysis. It identifies…

Machine tools, critical for manufacturing industries, need maintenance for performance and profitability. Spindle unit…

In manufacturing companies, reducing maintenance costs can greatly decrease total costs, but a reactive approach of fixing…

Condition Monitoring detects faults in machines/equipment through observing parameters such as vibration, temperature, and…

Different technical terms are used when talhing about vibration-based condition monitoring. Learning of them are helpful in order…

Vibration measurements and analysis, using multiple parameters, can identify developing problems in machinery before causing…

Vibration measurements are used to determine the response of machines to forces and identify…

Vibration analysis can be used to discover problems in machines and predict when they might fail. It can significantly reduce…