App Monitors Robots to Predict Failures, Prevent Downtime
Predictronics has launched an off-the-shelf robot health analysis and visualization application.
Share
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.
Related Content
-
4 Steps to a Cobot Culture: How Thyssenkrupp Bilstein Has Answered Staffing Shortages With Economical Automation
Safe, economical automation using collaborative robots can transform a manufacturing facility and overcome staffing shortfalls, but it takes additional investment and a systemized approach to automation in order to realize this change.
-
Made in the USA - Season 1 Episode 2: The Automation Puzzle
There is a fundamental question we need to answer when we talk about automation: To what extent is automation an answer to the skilled workforce shortage, and to what extent is automation vs. Skilled labor the wrong comparison to make in the first place?
-
Fearless Five-Axis Programming Fosters Shop Growth
Reinvestment in automation has spurred KCS Advanced Machining Service’s growth from prototyping to low-and mid-volume parts. The key to its success? A young staff of talented programmers.
