BART utilises Dexda’s predictive intelligence to transform its corrective maintenance management

For BART, loss of ‘correspondence’ from the large volume of switches on their rail network, accounted for most their expensive unplanned maintenance costs. Despite increasing the amounts of planned maintenance work carried out, they found that the number of corrective maintenance activities resulting from unplanned outages remained stubbornly high. Dexda’s intelligent machine learning software provided the predictive intelligence required to transform their corrective maintenance management process.

Bay Area Rapid Transit (BART) connects the San Francisco Peninsula with Berkeley, Oakland, Fremont, Walnut Creek, Dublin/Pleasanton and other cities in the East Bay. For more than 45 years BART has provided fast, reliable transportation to downtown offices, shopping centres, tourist attractions, entertainment venues, universities and other destinations for Bay Area residents and visitors alike. The network comprises 50 stations, over 1,300 miles of track network and a single state of the art operational control centre.

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