Sibyl offers a 3-step process that includes Risk Analysis, IoT devices and sensors <br>specification, and the Sibyl platform for predictive maintenance.
IoT Sibyl
Reliable data collection and transmission of the necessary ones, using existing infrastructures (e.g. PLC) and/or installing new sensors in the asset in question (including accelerometers, acoustic sensors, torque and force sensors, temperature and flow meters).
Improved equipment uptime
By predicting when equipment is likely to fail, predictive maintenance allows for proactive maintenance to be scheduled before a failure occurs, improving overall equipment uptime.
Reduced costs
Predictive maintenance can reduce costs associated with unplanned downtime and emergency repairs.
Increased efficiency
Predictive maintenance allows organizations to schedule maintenance activities when it is most efficient to do so, rather than on a fixed schedule.
Improved safety
Predictive maintenance can help identify potential safety hazards and address them before they become an issue.
Zero defect production
25% Increase in production time without faults.
Predictive maintenance
Identify faults in mechanical equipment in up to 72 hours ahead of time.
Sibyl is a predictive maintenance platform that uses a microservices architecture and Industry 4.0 technologies.
With multiple features using machine learning techniques, Sibyl analyzes and extracts knowledge from data from various sources in the manufacturing process.
Fault Detenction
By utilizing a combination of multiple algorithmic approaches, Sibyl is able to detect a wide range of failure modes.
Fault Identification
By making use of sophisticated pattern recognition techniques and historical data, Sibyl efficiently matches footprints of known failure modes to live
sensor measurements.
Failure Prediction
Tailor the forecasting horizon to your production process needs by utilizing time series prediction techniques or recognizing hidden event sequence patterns.
emaining Useful Life (RUL) Estimation
Gain insights into the remaining lifespan of your assets and take proactive measures to optimize their performance.
Integration of Sibyl with Cmms
Integration with CMMS systems is simple. Bi-directional communication with CMMS systems, allows automatic generation and scheduling of tasks for technicians to mitigate a detected or predicted problem in the machinery or direct reporting of planned or extraordinary maintenance work from CMMS to Sibyl for data enrichment and continuous model optimization.
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