Breakdown Prediction of Different Components of Robotics

In high cost mechatronics and safety-critical systems it becomes very important to ensure failure free functionality. Different software engineering techniques are used to ensure that a robot achieves its goals in any circumstances. However, the mechanical components can breakdown accidentally or due to gradual use, making it difficult to ensure failure free functionality. Thus we describe a general purpose model to predict the breakdowns. As a case study we apply the model to predict the failures of wheels of the robot. Our approach uses artificial neural networks (ANN) and rule based logic.