Predictive Application Failures in Software Code Errors

Search text

Active Filters

CS/SEAS and LDEO/EI

About 3 results

(0.03 seconds)

Software reliability model predicts component failure rates

M11-087

This technology is a software package that predicts component failure rates to direct maintenance operations in major industrial networks.

4Machine learning Operations management Stochastic process

4Albert G. Boulanger Leon Li Wu Roger N. Anderson

Dovina Qu

4CS/SEAS and LDEO/EI Center for Computational Learning Systems (CCLS)CS/SEAS

Faculty of the Arts & Sciences Fu Foundation School of Engineering and Applied Science (SEAS)Lamont-Doherty Earth Observatory (LDEO)

2018-09-11

Machine learning system for reliable prediction of power grid failures

M11-017

This technology is a machine learning platform that can be used for determining the likelihood of failures in power grid components based on historical and real-time data.

4Machine learning Mean time between failures Smart grid

4Albert G. Boulanger Cynthia Rudin Philip Nathaniel Gross

Dovina Qu

CS/SEAS and LDEO/EICS/SEAS MIT Sloan School of Management

2018-09-11

System for monitoring the smart grid management of electric transmission and distribution systems

M10-068

This technology is a set of metrics that can be used for accurately monitoring the performance of capital, operations, and maintenance investments to infrastructure.

8Efficient energy use Electrical grid Energy consumption

Albert G. Boulanger Leon Li Wu Roger N. Anderson

Dovina Qu

CS/SEAS and LDEO/EICenter for Computational Learning Systems (CCLS)CS/SEAS

Fu Foundation School of Engineering and Applied Science (SEAS)

2018-08-30