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October 27, 2005
SWANTECH Launches the Next Generation of Web Based Condition Monitoring and Analysis Systems
SWANTECH Inc, a leading provider of advanced machine healthcare monitoring solutions and analysis services, today launched a new generation of its SWAN computer-based predictive maintenance system -- SWANview LX and SWANview EX -- to provide process plants, mills and facilities with the latest technology in real-time, accurate warning and analysis of machine failure during operation.
Fort Lauderdale, FL (PRWEB) October 27, 2005 -- SWANTECH Inc, a leading provider of advanced machine healthcare monitoring solutions and analysis services, today launched a new generation of its SWAN computer-based predictive maintenance system -- SWANview LX and SWANview EX -- to provide process plants, mills and facilities with the latest technology in real-time, accurate warning and analysis of machine failure during operation.
The new software runs on SWANTECH’s SWANserver and expands the system’s stress wave analysis (SWAN) monitoring capabilities to cost-effectively continuously monitor a large numbers of mechanical assets. The SWANview LX and SWANview EX software allows a centralized, plant-based server to provide Web-based operational and analytical condition monitoring information and makes that information available to all authorized plant and corporate personnel. It also supports standard communication interfaces with DCS and SCADA systems and corporate asset and maintenance management systems.
The key to the success of SWAN technology is its ability to provide a new measurement dimension -- friction and stress -- rather than traditional vibration data. Friction is the leading indicator of load, lubrication, wear and damage within a machine. It is also the first and most likely source of change within a machine. SWAN provides the earliest and most accurate detection of a change in machine operating conditions, process upsets and corresponding machine health.
SWAN can track and trend failure progression and pinpoint damage with remarkable precision because it provides an electronic means of detecting and analyzing sounds that travel through a machine structure at ultrasonic frequencies functioning like a computerized stethoscope. These sounds are detected and measured in terms of energy content and then analyzed to identify and trend the incidence of damage in a machine. The SWAN system functions using a network or wireless communications which transports information from the SWAN intelligent condition monitoring modules associated with a machine asset to the SWANserver.
The data is presented to an operator in an easy to interpret “traffic light” and other intuitive type displays and can be further analyzed to produce reports which may point to early signs of bearing, seal or lubrication wear.
The information collected helps determine what corrective action or maintenance is required before severe damage of the equipment occurs. Armed with this information, scheduled planning for maintenance or repairs can be made months in advance. This early detection has helped companies save hundreds of thousands of dollars each year in unplanned equipment failure, production down-time and spare parts costs.
About SWANTECH Incorporated
Founded in 1998, Fort Lauderdale, Florida based SWANTECH Incorporated (www.swantech.com) is a leading designer, manufacturer and services provider of industrial ultrasonic diagnostic systems that accurately evaluates the operating health of industrial machinery. SWANTECH's proprietary, patented and field-tested Stress Wave ANalysis (SWAN™) technology is revolutionizing the global condition monitoring market by providing a cost-saving machine defect detection solution that is replacing traditional vibration sensing and lubrication systems. SWANTECH offers solutions to predict and avert failure for all types of rotating machinery through its product suite, including SWANguard™, SWANview LX™, and SWANview EX™. In August 2005, SWANTECH was the winner of the South Florida Business Journals Technology Rising Star award.
Posted by Industrial-Manufacturing at October 27, 2005 05:13 AM