How to get started with Predictive Maintenance using Machine Learning
At Intuceo©, we use enabling technologies such as machine learning and data science to provide predictive maintenance solutions for OEM's and dealers. This solution will transform and analyse the sensor data embedded in vehicles (cars, trucks, EVs), enabling our customers to deploy this solution in manufacturing industry (aerospace, mechanical and automotive) to reduce downtime and costs.
Predic
tive maintenance is the method of attempting to predict the failure of operational equipment and using preventive maintenance to avoid unspecified downtime. Since the approach is data-driven, it employs machine learning and predictive data analytics to observe a variety of equipment conditions that could register a potential system or equipment failure.Featured Product
ResinDek® TRIGARD® ESD ULTRA FOR HIGH-TRAFFIC ROBOTIC APPLICATIONS
To maximize the productivity of an autonomous mobile robot (AMR) or automatic guided vehicle (AGV) deployment, it's critical to create the optimal environment that allows the vehicles to perform at their peak. For that reason, Cornerstone Specialty Wood Products, LLC® (www.resindek.com) created the TriGard® ESD Ultra finish for its ResinDek® engineered flooring panels. The TriGard ESD Ultra finish is ideal for high-traffic robotic applications characterized by highly repetitive movement patterns and defined travel paths.
