Predictive Maintenance

Problem

The predictive maintenance is related to the equipment’s condition rather than expected life statistics. For this prediction, constant monitoring of the equipment, tracking of anomalies and other equipment operation-related data collection should be carried out to predict the maintenance periods to avoid equipment failure.

Challenge

Predictive maintenance is about anticipating an unexpected equipment failure as early as possible and preventing the loss through regularly scheduled and corrective maintenance without disturbing the normal system operations.

Solution

Aigoritma uses machine learning to predict when the failure may occur. Artificial intelligence and Statistics are both necessary to predict the state of the equipment and the probability of a failure in the foreseeable future. All the variables about the components of the system are considered sensitively and integrated into the learning algorithm which is sustainably feeding the state-of-the-art artificial intelligence-based product.

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