Modern Robotic Combat Vehicles (RCV) are designed with an ever-increasing level of automation and advanced machinery, including state-of-the-art sensors that monitor vital engines and auxiliary system functions. According to a recent study, 80% of crash accidents and 42% of malfunctions are caused primarily by human errors, including maintenance and inspection. It is therefore critical to develop better maintenance, repair, and overhaul (MRO) processes in order to improve quality, cost, and efficiency. Today’s MRO and in-service support (ISS) functions are facing challenges on several fronts, from slow turnaround time and poor data integrity to aging systems and outdated manual processes. Meanwhile, the growing MRO market is expected to exert a major impact on the cost of future RCV maintenance. To address these challenges, new technologies with potent capabilities are needed to help make faster and more informed decisions for proactive maintenance and to avoid potentially catastrophic failure.