Some of Our Knowledge

Energy efficiency is critical for modern facility management, driven by rising energy costs, environmental concerns and…

Criticality analysis helps industries identify the most critical assets and prioritize maintenance activities to prevent downtime…

Predictive maintenance helps businesses avoid costly emergency repairs, extend equipment lifespan, optimize maintenance plans,…

Predictive maintenance improves efficiency and prevents downtime in the pulp and paper industry by detecting equipment issues…

AI-powered bots can predict equipment failures and prevent downtime in industrial maintenance. Sensemore offers a comprehensive solution with sensors, data analysis, and…

Iron and Steel industry is a major contributor to economy, energy consumption and carbon emissions. Predictive maintenance strategy using…

Predictive maintenance is a strategy to maximize efficiency and prevent unexpected downtime, it tracks machine data and analyzes it to predict future malfunctions.…

AI can diagnose machine faults with vibration data but machine mode similarity analysis is an alternative, it uses known data…

Predictive maintenance using vibration, electrical analysis and IoT devices can prevent downtime, improve efficiency, quality and…

Sustainability in industry can be achieved by reducing industrial carbon emissions by using renewable energy sources, promoting…

Maintenance culture has evolved from Corrective to Preventive, Proactive and Predictive using AI technology to predict…

Fault Tree Analysis is a method for identifying and understanding the root causes of failures in a system. It starts by…

Predictive maintenance through machine health monitoring aims to prevent costly…

Reliability is the ability to prevent failures in a system or product, implemented through proactive and reactive methods. FMEA (Failure…

Machine data is generated by physical attributes and actions of machines, collected by sensors and analyzed for insights on…

IIoT allows for the use of smart sensors and AI/ML in manufacturing to improve production and industrial processes through…

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 is used in predictive/preventive maintenance to detect defects in machines and predict failure, reducing costs…