Why this use case matters
Data science aids manufacturers to build better products. Engineering teams can predict the drivers of complex maintenance failures; prescribe the optimal design using predictive insights and utilizing simulations; ultimately delivering the optimal product to their end customer.
Classification, Simulation, Anomaly Detection
SVM, Logistic Regression, Tree-Based Learning, Single-Shot Detection (SSD), Faster Region-based Convolutional Neural Nets (FR-CNN), Mask-R CNN, ResNet50, Retinanet, YOLO, RanSaC, TensorFlow Libraries, Filtering, Auto-Encoders
Predictive maintenance assumes the likelihood of mechanical assets failure, so companies can optimize their maintenance response with scheduled, as opposed to unscheduled, maintenance.