Blar i AURA på forfatter "Schlanbusch, Rune"
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Acoustic Emission-Based Condition Monitoring and Remaining Useful Life Prediction of Hydraulic Cylinder Rod Seals
Pedersen, Jørgen. F.; Schlanbusch, Rune; Meyer, Thomas; Caspers, Leo. W.; Shanbhag, Vignesh Vishnudas (Peer reviewed; Journal article, 2021) -
Adaptive Attitude Control of a Rigid Body with Input and Output Quantization
Schlanbusch, Siri Marte; Zhou, Jing; Schlanbusch, Rune (Journal article; Peer reviewed, 2021)In this paper, the adaptive attitude tracking the problem of a rigid body is investigated where the input and output are transmitted via a network. To reduce the communication burden in a network, a quantizer is introduced ... -
Adaptive Backstepping Attitude Control of a Rigid Body with State Quantization
Schlanbusch, Siri Marte; Zhou, Jing; Schlanbusch, Rune (Chapter; Peer reviewed, 2021)In this paper, the attitude tracking control problem of a rigid body is investigated where the states are quantized. An adaptive backstepping based control scheme is developed and a new approach to stability analysis is ... -
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Peer reviewed; Journal article, 2021)Seal wear in hydraulic cylinders results in fluid leakage, and instability of the piston rod movement. Therefore, regular inspection of seals is required using automated approaches to improve productivity and to reduce ... -
Automated and Rapid Seal Wear Classification Based on Acoustic Emission and Support Vector Machine
Kandukuri, Surya Teja; Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Noori, Nadia; Schlanbusch, Rune (Peer reviewed; Journal article, 2021) -
Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks
Noori, Nadia; Shanbhag, Vignesh Vishnudas; Kandukuri, Surya Teja; Schlanbusch, Rune (Peer reviewed; Journal article, 2022)The work presented in this paper is built on a series of experiments aiming to develop a data-driven and automated method for seal diagnostics using Acoustic Emission (AE) features. Seals in machineries operate in harsh ...