Success Story

Rail hot box detector analytics for improved safety

Advanced analytics with predictive models help railroads to move from unplanned to planned maintenance

A leading North American, Class I railroads wanted to improve their rail safety by predicting bearing failures. Early warning and detection of derailments can significantly save costs. CloudMoyo designed a solution to harness data from all hot box detectors to provide real-time alerts around temperature to the rail mechanical desk, enabling prediction of wheel bearing failures for the pre-bad ordering of cars. 

The hot box detector analytics solution helped them overcome challenges like:

1. High frequency of inspection
2. Manual inspection
3. Equipment failure
4. Poor detection of a derailment
5. Unnecessary delays caused by a false alarm

Download this success story to find out how the CloudMoyo solution for hot box detectors helped to improve rail safety. 

Get the detailed case study here:

CloudMoyo empowers rail and transportation companies to gain greater insights, unlock efficiencies, and improve agility in operations, revenue and asset management as well as critical areas of safety, crew scheduling and maintenance. Combined with deep rail industry expertise, our cloud-based, AI-driven solutions leverage cutting edge technology to reimagine railroad digitization.

14711 NE 29th Pl, Suite 111, Bellevue, WA – 98007 U.S.