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U.S. Department of Energy
Office of Scientific and Technical Information

Helping to reduce turbomachinery losses through advanced technology and on-line expertise

Conference ·
OSTI ID:81462
 [1]
  1. Hartford Steam Boiler Inspection & Insurance Co., Hartford, CT (United States)
It`s clear that turbomachinery poses a set of unique problems for risk managers. The size of the equipment, the role it often takes in production and the severity of a loss all combine to make a risk manager`s job that much more difficult. But while the job may be difficult, it`s not impossible. Through a combination of advanced technology, regular predictive maintenance and some expert advice, today`s risk managers, working with plant operational personnel, are reducing major turbomachinery losses. There are several telltale signs that warn plant personnel of an impending turbomachinery failure. One is vibration. All turbomachinery will vibrate at some level, even when in good working condition. But a change in the vibration level usually indicates a change in the machine`s performance. If plant personnel can detect a change early enough, they may be able to avoid an unscheduled shutdown. Hartford Steam Boiler recently introduced a periodic vibration data collection program called DATALERT{trademark} to help its customers separate problem from non-problem machines. As a result, companies can focus resources on equipment that needs immediate attention. And equipment in good working condition doesn`t tie up resources unnecessarily at the next maintenance turnaround. DATALERT is an integrated machinery vibration data collecting and expert analysis system developed by Hartford Steam Boiler to assist customers in preventing rotating machine downtime or losses. The data collection program is described.
Research Organization:
USDOE, Washington, DC (United States); Korea Electric Power Corp. (KEPCO), Seoul (Korea, Republic of)
OSTI ID:
81462
Report Number(s):
CONF-941089--Vol.2; ON: DE95011613
Country of Publication:
United States
Language:
English

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