@misc{8353,
  abstract     = {{A new model for the reliability prediction was developed and validated in previous investigations in order to enable the determination of the failure in time (FIT) of electrical connectors from highly accelerated life tests (HALT). The established testing method considers the influence of temperature, thermal cycling and vibration on the failure rates of electrical connectors. Various stress levels, i.e. the combinations of different test parameters, were derived from the ZVEI Technical Guideline TLF 0214 for low voltage automotive connectors. The applied vibrational load was initially defined as a sinusoidal test mode. The aim of this study is to investigate the influence of the vibration test mode on the failure rates. Two commonly used automotive connectors are chosen and subjected to stresses in HALT under two different types of vibrational load. The sinusoidal test mode along with the random vibration test mode are taken into account. The influence of the vibration test modes is subsequently determined by comparing the numbers of failures. Additionally, the principles of determining the coefficient of vibration are discussed and the specific coefficients for the chosen connectors are calculated based on the test results. A guideline, derived from this investigation, to select an appropriate vibration mode and vibration level is provided in order to compare the reliability of different electrical connectors.}},
  author       = {{Krüger, Kevin and Yuan, Haomiao and Song, Jian}},
  booktitle    = {{Microelectronics reliability : an internat. journal & world abstracting service}},
  issn         = {{0026-2714}},
  keywords     = {{Acceleration factor, Coefficient of vibration, Sine sweep, Random vibration, Failure rate}},
  number       = {{8}},
  publisher    = {{Elsevier}},
  title        = {{{The influence of the vibration test mode on the failure rate of electrical connectors}}},
  doi          = {{https://doi.org/10.1016/j.microrel.2022.114567}},
  volume       = {{135}},
  year         = {{2022}},
}

@misc{8386,
  abstract     = {{The dynamic emulation of mechanical loads is required in a variety of applications to test and validate control algorithms. Typical test setups consist of two mechanically coupled motors, one of which is the Device Under Test (DUT) while the other is used as a load drive for emulation. Existing emulation concepts either rely on the differentiation of velocity feedback or utilize measured quantities of the DUT. The emulation method proposed in this paper uses acceleration feedback to control the torque of the load drive. It does not require any measured quantities of the DUT which allows a simple replacement of the DUT’s motor and/or inverter without the need of any conceptual changes. Based on a physical model, the emulation method is derived analytically and analyzed numerically for the emulation of one-mass-systems. The stability and emulation quality is evaluated considering two controller architectures. Finally, experiments are conducted and compared to numeric simulations to test the correct emulation.}},
  author       = {{Epp, Michael and Griese, Martin and Schulte, Thomas}},
  booktitle    = {{IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society}},
  isbn         = {{978-1-6654-3554-3}},
  issn         = {{2577-1647}},
  keywords     = {{Acceleration feedback, emulation of mechanical loads, motion and servo control, machine and drive testing}},
  location     = {{Toronto, ON, Canada }},
  pages        = {{1--6}},
  publisher    = {{IEEE}},
  title        = {{{Acceleration Feedback Concepts for Dynamic Emulation of Mechanical Loads}}},
  doi          = {{10.1109/IECON48115.2021.9589449}},
  year         = {{2021}},
}

@inproceedings{10668,
  abstract     = {{Digitalization has a significant impact on our working life and it allows whole industries to rethink their value chains. This paper examines how digitalization relates to complexity in work systems with respect to relevant organizational fields of work organization. 23 semi-structured interviews with experts from science and economy were conducted and analyzed. Key findings are that digitalization has far-reaching, interrelated implications for all organizational fields. Moreover, digitalization-related aspects were identified which have the potential to increase complexity in work systems.}},
  author       = {{Latos, Benedikt and Harlacher, Markus and Przybysz, Philipp M. and Mutze-Niewohner, Susanne}},
  booktitle    = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
  issn         = {{2157-362X}},
  keywords     = {{Complexity theory, Interviews, Organizations, Industries, Task analysis, Acceleration}},
  location     = {{Singapore}},
  publisher    = {{IEEE}},
  title        = {{{Transformation of working environments through digitalization: Exploration and systematization of complexity drivers}}},
  doi          = {{10.1109/ieem.2017.8290059}},
  year         = {{2018}},
}