App Monitors Robots to Predict Failures, Prevent Downtime

Predictronics has launched an off-the-shelf robot health analysis and visualization application. 


Facebook Share Icon LinkedIn Share Icon Twitter Share Icon Share by EMail icon Print Icon

Predictronics, a technology startup, has launched an off-the-shelf robot health analysis and visualization application. Factory Sentinel for Industrial Robots is designed to be a ready-to-deploy, scalable solution that monitors industrial robots to predict costly failures and prevent downtime.

The predictive analytics solution has an intuitive interface and built-in algorithms, so that users don’t require data science experience. This enables factory personnel to visualize robot health on most electronic devices, report degrading assets and plan for corrective action before failures occur. The algorithm considers multiple robot variables to make predictions, including torque, vibration and temperature. 

Real-time alerts inform staff when robots reach critical conditions and specify the problem. This can extend robot life and supports the adoption of a more effective maintenance approach.

The product is compatible with several robot makes and models, so that factories can monitor a range of robots with a single solution.


  • Programming A Robot The Way You Program A CNC Machine Tool

    Programming a robot with the same CAM software used for a multi-axis machine tool makes it unnecessary to “teach” the robot by jogging it manually from point to point and recording these point-to-point moves as the robot’s motion commands. Robotmaster is a software package that provides this CAD/CAM-based, off-line programming for robots. It runs fully integrated inside Mastercam CAM software for CNC machine tools.

  • Bar Puller Basics

    Bar pullers are cost-effective alternatives to enable automated turning on CNC lathes. This article explains how they work and how shops can benefit from using them.

  • Machining, Disruption and the Years Ahead

    Three major technological advancements have changed modern manufacturing. Pay attention or get left behind.