Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems 2010
DOI: 10.1145/1869983.1870056
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A wireless MEMS-sensor network concept for the condition monitoring of ball screw drives in industrial plants

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Cited by 7 publications
(3 citation statements)
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“…For instance, Verl, et al [20] determined information about the feed axis wear using sensorless automated condition monitoring (SACM) algorithms based on positioncontrolled drive signals, such as position, velocity, and motor current. Schmid et al [21] used a wireless sensor network (MEMS) for continuous condition monitoring of ball screws. Verl and Frey [22] have shown that the value of the preload in ball screws changes depending on the speed of the feed motion, which influences the load and thus the service life.…”
Section: Condition Monitoring Of Ball Screwsmentioning
confidence: 99%
“…For instance, Verl, et al [20] determined information about the feed axis wear using sensorless automated condition monitoring (SACM) algorithms based on positioncontrolled drive signals, such as position, velocity, and motor current. Schmid et al [21] used a wireless sensor network (MEMS) for continuous condition monitoring of ball screws. Verl and Frey [22] have shown that the value of the preload in ball screws changes depending on the speed of the feed motion, which influences the load and thus the service life.…”
Section: Condition Monitoring Of Ball Screwsmentioning
confidence: 99%
“…The sink node processes the data and further transmits to both a local CNC system and to a remote fault diagnosis system. Schmid et al [169] develop a WSN that consists of a low-power microcontroller, a transceiver, and an accelerometer. Vibration data are collected and analyzed in a decentralized fashion by the end-device.…”
Section: 16mentioning
confidence: 99%
“…Permissions may be requested from There are several monitoring systems dealing with very high sampling rates, mostly associated with particle physics experiments or industrial monitoring; as an example, the interested reader can refer to Dell'Acqua et al [1993], where a read-out system for high-energy physics is presented, or to Gungor and Hancke [2009] and Ramamurthy et al [2007], where high-frequency sampling is used to detect faults and design preventive maintenance activities. Interestingly, a high-frequency distributed measurement system for industrial monitoring purposes is described in Schmid et al [2010]; herein, the goal is to detect changes in the vibrational pattern of machineries in order to predict the need for maintenance.…”
Section: Introductionmentioning
confidence: 99%