Predictive maintenance can offer compelling benefits. You can save your company thousands to millions of dollars in downtime costs by preventing failures on your assets before they occur. A key aspect of predictive maintenance is using hardware to acquire different data from assets and equipment and analyzing that data to identify faults. You just need to make sure you have the measurement technologies to effectively cover the assets in your plant or factory. Different types of assets, such as rotating equipment like pumps and turbines or other assets like transformers, may be better suited to specific measurements, but this white paper covers three of the main measurement technologies in the predictive maintenance space: vibration, thermography, and motor current signature analysis