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ORCIDClemens Gühmann
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- affiliation: Technical University of Berlin, Germany
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2020 – today
- 2024
[j8]Daniel Weber, Clemens Gühmann
, Thomas Seel:
FranSys - A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction. IEEE Access 12: 145130-145147 (2024)- [j7]Diwang Ruan, Lin Ma, Yiying Yang, Jianping Yan, Clemens Gühmann:
Improvement by Monte Carlo for Trajectory Similarity-Based RUL Prediction. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j6]Jonas Köhne, Lars Henning, Clemens Gühmann:
Autoencoder-Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm. IEEE Access 11: 18868-18886 (2023) - [j5]Diwang Ruan, Jin Wang, Jianping Yan, Clemens Gühmann:
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis. Adv. Eng. Informatics 55: 101877 (2023) - [j4]Diwang Ruan, Yuheng Wu, Jianping Yan, Clemens Gühmann:
Fuzzy-Membership-Based Framework for Task Transfer Learning Between Fault Diagnosis and RUL Prediction. IEEE Trans. Reliab. 72(3): 989-1002 (2023) - 2022
- [i6]Jonas Köhne, Lars Henning, Clemens Gühmann:
Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm. CoRR abs/2209.04213 (2022) - 2021
- [c19]Diwang Ruan, Feifan Zhang, Clemens Gühmann:
Exploration and Effect Analysis of Improvement in Convolution Neural Network for Bearing Fault Diagnosis. ICPHM 2021: 1-8 - [i5]Daniel Weber, Clemens Gühmann, Thomas Seel:
Robust Neural Networks Outperform Attitude Estimation Filters. CoRR abs/2104.07391 (2021) - [i4]Daniel Weber, Clemens Gühmann:
Non-Autoregressive vs Autoregressive Neural Networks for System Identification. CoRR abs/2105.02027 (2021) - [i3]Tilman Krokotsch, Mirko Knaak, Clemens Gühmann:
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision. CoRR abs/2108.08721 (2021) - 2020
- [c18]Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. FUSION 2020: 1-8 - [c17]Tilman Krokotsch, Mirko Knaak, Clemens Gühmann:
A Novel Evaluation Framework for Unsupervised Domain Adaption on Remaining Useful Lifetime Estimation. ICPHM 2020: 1-8 - [c16]Russell Sabir, Daniele Rosato, Sven Hartmann, Clemens Gühmann:
Signal Generation using 1d Deep Convolutional Generative Adversarial Networks for Fault Diagnosis of Electrical Machines. ICPR 2020: 3907-3914 - [i2]Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. CoRR abs/2005.06897 (2020)
2010 – 2019
- 2019
- [c15]Russell Sabir, Daniele Rosato, Sven Hartmann, Clemens Gühmann:
LSTM Based Bearing Fault Diagnosis of Electrical Machines using Motor Current Signal. ICMLA 2019: 613-618 - [c14]Hauke Brunken, Clemens Gühmann:
Deep learning self-calibration from planes. ICMV 2019: 114333L - [c13]Noushin Mokhtari, René Knoblich, Sebastian Nowoisky, José Luis Bote-Garcia, Clemens Gühmann:
Differentiation of Journal Bearing Friction States under varying Oil Viscosities based on Acoustic Emission Signals. ICPHM 2019: 1-7 - [c12]Hauke Brunken, Clemens Gühmann:
Incorporating Plane-Sweep in Convolutional Neural Network Stereo Imaging for Road Surface Reconstruction. VISIGRAPP (5: VISAPP) 2019: 784-791 - 2018
- [c11]Noushin Mokhtari, Clemens Gühmann, Sebastian Nowoisky:
Approach for the Degradation of Hydrodynamic Journal Bearings based on Acoustic Emission Feature Change. ICPHM 2018: 1-5 - [c10]Jie Zou, Hua Huang, Clemens Gühmann:
Improved Sliding-Mode On-line Adaptive Position Control for AMT Clutch Systems Based On Neural Networks. Intelligent Vehicles Symposium 2018: 174-178 - 2015
- [j3]Hua Huang, Sebastian Nowoisky, René Knoblich, Clemens Gühmann:
Multi-domain modelling and simulation of an automated manual transmission system based on Modelica. Int. J. Simul. Process. Model. 10(3): 253-264 (2015) - [j2]Stephan A. Rein, Frank H. P. Fitzek, Clemens Gühmann, Thomas Sikora:
Evaluation of the wavelet image two-line coder: A low complexity scheme for image compression. Signal Process. Image Commun. 37: 58-74 (2015) - 2014
- [c9]Hua Huang, Clemens Gühmann, Yue Yu:
Second-order sliding mode control of the engine speed for an automated manual transmission during gear shifting process. SSD 2014: 1-6 - [c8]Jan Hendrik Carstens, Clemens Gühmann:
Adaptive control of a boost-buck converter for thermoelectric generators. ECC 2014: 2121-2126 - 2013
- [c7]Sebastian Nowoisky, Clemens Gühmann:
Automated parameter identification for a dry clutch. SSD 2013: 1-6 - 2012
- [c6]René Knoblich, Clemens Gühmann, Jörg Beilharz:
Sliding mode position control for automotive dry clutch system: Nonlinear observer/sliding mode control design for an electro-hydraulic actuation system. SSD 2012: 1-6 - [c5]Ramita Suteekarn, Martin Sackmann, Bernd Last, Clemens Gühmann:
High-Precision, Robust Cascade Model for Closed-Loop Control of Ceramic Glow Plug Surface Temperature in a Diesel Engine. ECMS 2012: 229-235
2000 – 2009
- 2009
- [c4]Stephan Rein, Stephan Lehmann, Clemens Gühmann:
Wavelet Image Two-Line Coder for Wireless Sensor Node with Extremely Little RAM. DCC 2009: 252-261 - 2008
- [c3]Stephan Lehmann, Stephan Rein, Clemens Gühmann:
External Flash Filesystem for Sensor Nodes with sparse Resources. MobiMedia 2008 - [c2]Stephan Rein, Stephan Lehmann, Clemens Gühmann:
Fractional Wavelet Filter for Camera Sensor Node with external Flash and extremely little RAM. MobiMedia 2008 - [i1]Steffen Kühn, Clemens Gühmann:
Modeling and Control with Local Linearizing Nadaraya Watson Regression. CoRR abs/0809.3690 (2008) - 2006
- [j1]Stephan Rein, Clemens Gühmann, Frank H. P. Fitzek:
Compression of Short Text on Embedded Systems. J. Comput. 1(6): 1-10 (2006) - [c1]Stephan Rein, Clemens Gühmann, Frank H. P. Fitzek:
Low-Complexity Compression of Short Messages. DCC 2006: 123-132
Coauthor Index
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