Preventive Maintenance
Vehicles today generate vast amounts of data every second that automakers can leverage to provide services that will help make the shift from Preventative or condition-based maintenance to Prognostics or Predictive Maintenance. As the mindset shifts towards leading less stressful lives, prognostics can intimate consumers ahead of critical failures in their vehicles leading to breakdowns and disruptions to their planned commute.
Prognostics and Health Monitoring (PHM) are enabled by predicting Remaining Useful Life (RUL) for various components leveraging big data technologies and AI algorithms. These same algorithms when applied in the context of machinery can be used to predict failures of equipment on the manufacturing plants.
At LTIMindtree, with our domain expertise and real life experience in building PHM solutions, we are uniquely positioned to recommend the right curated list of data science algorithms and models that refine to create a methodical approach to drive outcomes. Our solutions are portable and can be installed on your existing platforms .
