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As renewable integration and decarbonization expedite and move to the next level, solar energy plays an increasingly important role. A reliable and cost-effective operations and maintenance (O&M) strategy for solar PV systems is critical to achieve lower LCOE and increase PV competitiveness. Sensor driven predictions on asset health enables an improved understanding on asset failure risks and smart just-in-time O&M policies that minimize interruptions and failure instances. In this talk, we proposed an integrated O&M policy that leverage industrial sensor data from Inverters to enhance reliability and operational availability of PV systems.