Data-driven vibration-based bearing fault diagnosis using non-steady-state training data

Kurt Pichler; Ted Ooijevaar; Clemens Hesch; Christian Kastl; Florian Hammer

doi:10.5194/jsss-9-143-2020

Data-driven vibration-based bearing fault diagnosis using non-steady-state training data

Kurt Pichler
, Ted Ooijevaar
, Clemens Hesch
, Christian Kastl
, Florian Hammer

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	143-155
Number of pages	13
Journal	Journal of Sensors and Sensor Systems
Volume	9
Issue number	1
DOIs	https://doi.org/10.5194/jsss-9-143-2020
Publication status	Published - 12 May 2020

Fields of science

202036 Sensor systems
203 Mechanical Engineering
101 Mathematics
102 Computer Sciences
202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics

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10.5194/jsss-9-143-2020

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title = "Data-driven vibration-based bearing fault diagnosis using non-steady-state training data",

author = "Kurt Pichler and Ted Ooijevaar and Clemens Hesch and Christian Kastl and Florian Hammer",

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AU - Pichler, Kurt

AU - Ooijevaar, Ted

AU - Hesch, Clemens

AU - Kastl, Christian

AU - Hammer, Florian

PY - 2020/5/12

Y1 - 2020/5/12

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JO - Journal of Sensors and Sensor Systems

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Data-driven vibration-based bearing fault diagnosis using non-steady-state training data

Fields of science

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