2010 Symposium:
Fleet Asset Management and Optomization Solutions
August 17-20, 2010
Call for Presenters
PEPSE Training
September 13-16, 2010
PMAX Training
Watch for the 2010 training schedule.
Scientech papers presented at the EPRI Heat Rate Conference and ASME Power 2009 Conference are now available.
Evaluating an HP/IP Turbine Replacement
Optimizing for the Lowest Cost Electrical Production
Midwest Generation selects PdP for fleet wind turbine and fossil plant monitoring. U.S. Utility selects Scientech's PdP advanced pattern recognition software for Fleet monitoring. (See complete story)
Only the FAMOS suite of products can provide all of the following benefits to users:
1. Flexible, Integrated Performance Solutions. The FAMOS suite creates a cost-effective solution and a way to avoid the complication of third party add-ons. At the same time individual components can be installed separately, with the option of adding other applications as your budget and needs dictate.
2. Critical Information Accessibility. Fleet profitability and performance are enhanced through unified applications that create more accessible information for driving your business engine.
3. Robust Data Mining and Validation. Access to accurate and reliable metrics increase your overall plant efficiency.
4. Quick Diagnosis and Corrective Action. Detect, analyze and correct problems with predictive pattern recognition and diagnosis rules that raise alarms, while identifying the cause of problems and providing corrective actions.
5. Proactive Communications. Engineers, operators and management receive the information they need to identify and respond to problems before degraded performance occurs.
By changing the way information is assimilated, and by presenting it in a clear, visual manner, your engineers and operators hold the key for avoiding performance malfunctions, improving plant safety and leveraging other condition monitoring investments.
Please select the product buttons (PEPSE, PMAX, CMAX, PdP, or R*TIME) on the left for brief overviews.