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When selected and used optimally, the latest generation of intelligent sensors can have a positive impact on predictive maintenance strategies for fluid transport applications. Real-time data collection via intelligent sensors can influence downtime planning decisions needed to perform maintenance operations, helping to optimize productivity. Why adopt predictive maintenance? Maintenance operations are traditionally based on reactivity or prevention. A reactive strategy means loss of production and unexpected costs, while a preventive strategy often sees the repair of long range wireless relayhttp://www.carymart.com/2000-meters-remote-kits-c-451.html systems or parts as part of general maintenance procedures and not in case of real need. Attention gradually turned to predictive maintenance, stimulated by more intelligent sophisticated technologies. For fluid supply systems, this means a new monitoring of its condition, as maintenance personnel can determine if something exceptional has happened. Ultimately, each process has its own "heart rate," so the question is, has that rate changed over time? With acceleration or slowness, for example. This is where intelligent sensor technologies are beginning to bear fruit. A global vision Using sensor intelligence now allows much more than just monitoring factors such as position and speed. This involves using the data, collected in real time, to provide vital lifetime information that can facilitate the implementation of predictive maintenance. This data can be used to identify possible failures of a machine or system does not work, or optimal efficiency losses. Early detection of problems by sensors allows wireless remote control http://www.carymart.com/ system operators to examine, consider and plan corrective maintenance required during a period when production demand is lower or can be stopped. This can be done overnight or during a larger planned maintenance shutdown of the plant.