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Presented by:
Srikanth Vengasandra, Emerson
Edward Naranjo, Emerson

Maintaining flame detectors is costly. An LNG import facility with 150 ? 200 instruments may require an estimated $43,000 a year to maintain the equipment. The costs are higher if removal of devices for repair causes process disruptions. To improve the return on assets, operators rely on smart field devices to monitor dirty optics indicators and other variables that correlate with device health and sound surveillance. Alerts enable users to clean lenses, assess the onset of false alarms before a blockage fault or false alarm occurs. In this article we will explore some of the schemes operators use to reduce schedule-based maintenance. Asset monitoring software and predictive device intelligence play an integral role in these schemes. Our research shows users are adaptable and practical in their approaches and none depend wholly on condition-based maintenance. A reported advantage of flame detector asset monitoring is greater awareness of the conditions that lead to blockage faults, resulting in longer proof test intervals.