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1. Laboratory Scale Gear Faults Data

   https://doi.org/10.5281/zenodo.15265237  

   Zou, Shangyan; Zhou, Kai (January 2025, Zenodo)

   This dataset is collected from a lab scale gear system.  The experiments are conducted across 9 different fault conditions and three load conditions with 6 different sensor locations.  More details can be found in the word documentation. 

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2. Detection and Localization of Faults in a Regional Power Grid: Faults in a Regional Power Grid

   https://doi.org/10.17713/ajs.v52i4.1511  

   Kokoszka, Piotr; Rimkus, Mantautas; Hosur, Sanjay Sheshagiri; Duan, Dongliang; Wang, Haonan (July 2023, Austrian Journal of Statistics)

   The structure of power flows in transmission grids is evolving and is likelyto change significantly in the coming years due to the rapid growth ofrenewable energy generation that introduces randomness and bidirectionalpower flows. Another transformative aspect is the increasing penetrationof various smart-meter technologies. Inexpensive measurement devicescan be placed at practically any component of the grid. Using modeldata reflecting smart-meter measurements,we propose a two-stage procedure for detecting a fault in a regional powergrid. In the first stage, a fault is detected in real time. In the second stage,the faulted line is identified with a negligible delay. The approach uses onlythe voltage modulus measured at buses (nodes of the grid) as the input.Our method does not require prior knowledge of thefault type. The method is fully implemented in  R.Pseudo code and complete mathematical formulas are provided. 

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3. APUF Faults: Impact, Testing, and Diagnosis

   https://doi.org/10.23919/DATE54114.2022.9774575  

   Wei, Yeqi; Fox, Tim; Dumoulin, Vincent; Rao, Wenjing; Devroye, Natasha (March 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE))
4. Learning to Construct Better Mutation Faults

   https://doi.org/10.1145/3551349.3556949  

   Tian, Zhao; Chen, Junjie; Zhu, Qihao; Yang, Junjie; Zhang, Lingming (October 2022, Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering)
5. The Slow Slip of Viscous Faults

   https://doi.org/10.1029/2018JB016294  

   Viesca, Robert C.; Dublanchet, Pierre (May 2019, Journal of Geophysical Research: Solid Earth)

   Abstract We examine a simple mechanism for the spatiotemporal evolution of transient, slow slip. We consider the problem of slip on a fault that lies within an elastic continuum and whose strength is proportional to sliding rate. This rate dependence may correspond to a viscously deforming shear zone or the linearization of a nonlinear, rate‐dependent fault strength. We examine the response of such a fault to external forcing, such as local increases in shear stress or pore fluid pressure. We show that the slip and slip rate are governed by a type of diffusion equation, the solution of which is found using a Green's function approach. We derive the long‐time, self‐similar asymptotic expansion for slip or slip rate, which depend on both timetand a similarity coordinateη = x/t, wherexdenotes fault position. The similarity coordinate shows a departure from classical diffusion and is owed to the nonlocal nature of elastic interaction among points on an interface between elastic half‐spaces. We demonstrate the solution and asymptotic analysis of several example problems. Following sudden impositions of loading, we show that slip rate ultimately decays as 1/twhile spreading proportionally tot, implying both a logarithmic accumulation of displacement and a constant moment rate. We discuss the implication for models of postseismic slip as well as spontaneously emerging slow slip events. 

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