Satellite-based bearing condition monitoring prevents machinery downtime anywhere
Schweinfurt, Germany -- The latest product from the FAG Group is a new condition monitoring concept which permits t...
Schweinfurt, Germany — The latest product from the FAG Group is a new condition monitoring concept which permits the lifetime monitoring of rolling bearings in operating machinery and installations via satellite and the Internet. In this way, unexpected bearing failure, whether on the high seas or in stationary applications on land, can be avoided.
In order to further enhance this service, FAG Kugelfischer Georg Schfer AG, Schweinfurt, Germany, has acquired a majority stake (63 per cent) in ACIDA GmbH. The transaction will be backdated to take effect from January 1, 2001. ACIDA, located at Herzogenrath, specializes in vibration analysis for machinery diagnosis. FAG will rename the company FAG Industrial Services GmbH and use this acquisition as core of its strategic customer service concept.
The comprehensive range of services of FAG Industrial Services GmbH will permit the development and implementation of tailored maintenance strategies on the basis of well-founded data material. FAG customers will benefit in the form of reduced maintenance costs and a drop in the demand for replacement machinery components.
With the new FAG system, critical applications can be monitored continuously via satellite and online telediagnosis. For this purpose the machines incorporate integral sensors and measuring devices. Around the clock, this function offers support and early diagnosis in case of possible bearing problems.
Worldwide telemetry facilities are connected to the FAG centre of competence via GSM satellites and the Internet. They are particularly suited for offshore oil platforms, tankers or wind power plants. However, FAG also offers mobile diagnosis instruments for the immediate identification of all types of damage causing noise or vibration, such as spalling or pitting, thus permitting repair based on planned maintenance intervals.