Anticipate failures and reduce downtime

IoT sensors continuously measure the condition of your machines (vibration, temperature). The AI detects drift before a failure and recommends the action to schedule, several days before the breakdown.

• M-Predictor IoT sensor connectionM-Predictor IoT sensors continuously measure a motor's vibration and temperature and feed the data back to MAINTEX.
• Predictive analysis by machine learningThe machine learning algorithm learns the machine's normal behavior and detects drift before a failure occurs.
• Real-time anomaly detectionA vibration anomaly on a bearing triggers an alert as soon as the weak signal appears, several days before the breakdown.
• Automatic intervention recommendationsThe system automatically recommends the action to schedule, for example replacing the bearing during the next planned shutdown.
• Preventive alerts on weak signalsYou move from reactive to anticipated maintenance, reducing unplanned downtime (up to -42% observed).