Process-Independent Integrated Sensitivity Calibration of 3D Hall Sensors

Stahl-Offergeld, Markus; Ernst, Roland; Hohe, Hans-Peter; Schütze, Andreas

doi:10.1166/sl.2013.2818

Cited by 2 publications

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“…Furthermore, several measurements during this self-calibration and a statistical evaluation of the resulting variations are used to check whether the applied external field has changed during this procedure, which could lead to false values for offset and offset TC; for further details, the reader is referred to Stahl-Offergeld et al (2009). In addition, other production-related parameters of the sensor chip can be determined with a suitable strategy combining on-chip measurements and digital evaluation (Stahl-Offergeld et al, 2010;Stahl-Offergeld, 2011). This example shows that even a seemingly simple Hall sensor today determines the required measurement value based on a complex digital process.…”

Section: State-of-the-art and Current Trendsmentioning

confidence: 99%

Sensors 4.0 – smart sensors and measurement technology enable Industry 4.0

Schütze

Helwig²,

Schneider³

2018

J. Sens. Sens. Syst.

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Abstract. "Industrie 4.0" or the Industrial Internet of Things (IIoT) are two terms for the current (r)evolution seen in industrial automation and control. Everything is getting smarter and data generated at all levels of the production process are used to improve product quality, flexibility, and productivity. This would not be possible without smart sensors, which generate the data and allow further functionality from self-monitoring and selfconfiguration to condition monitoring of complex processes. In analogy to Industry 4.0, the development of sensors has undergone distinctive stages culminating in today's smart sensors or "Sensor 4.0". This paper briefly reviews the development of sensor technology over the last 2 centuries, highlights some of the potential that can be achieved with smart sensors and data evaluation, and discusses success requirements for future developments. In addition to magnetic sensor technologies which allow self-test and self-calibration and can contribute to many applications due to their wide spectrum of measured quantities, the paper discusses condition monitoring as a primary paradigm for introducing smart sensors and data analysis in manufacturing processes based on two projects performed in our group.

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Section: State-of-the-art and Current Trendsmentioning

confidence: 99%

Sensors 4.0 – smart sensors and measurement technology enable Industry 4.0

Schütze

Helwig²,

Schneider³

2018

J. Sens. Sens. Syst.

Self Cite

200

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show abstract

“…However, the above sensors and measurement methods or because of limited range and slow response, or because the price is expensive and can not meet the requirements of the system in this paper and the larger the size of the overall structure, measurement performance vulnerable to humidity, dust and other effects these measurement sensors have a certain similarity, are basically composed of two parts consisting of the scale and the detecting element [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Research of Measurement of Large Displacement and Velocity Based on Hall

Lu¹

2015

IJCA

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Process-Independent Integrated Sensitivity Calibration of 3D Hall Sensors

Cited by 2 publications

References 0 publications

Sensors 4.0 – smart sensors and measurement technology enable Industry 4.0

Sensors 4.0 – smart sensors and measurement technology enable Industry 4.0

Research of Measurement of Large Displacement and Velocity Based on Hall

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