In dense gravity surveys researching fault structures in detail, profiles were set perpendicular to the fault and short-spaced gravity observations were taken along the profiles (e.g., Iwano et al. 2001; Inoue et al. 2004).
Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed in this paper.
However, we have not seen any research incorporate fault-dependent detection and imperfect fault removal based on our knowledge.
A research on fault compensation method of battery pole-piece winding and unwinding system based on fault-tolerant control.
A study group at the society, including professors and representatives from utilities like Tokyo Electric, scrutinized data from past tsunamis, as well as fresh research on fault lines and local geography, to come up with the guidelines, according to a member of the study group who spoke on condition of anonymity, citing the sensitivity of the situation.
However, There are several problems for further research on fault-tolerance-and-interference-aware topology control.
The research on fault diagnosis system will promote the development of electric vehicle industry.
In addition, detailed research on fault-conformity-sand body migration systems is required for predicting the location of secondary oil and gas reservoirs.
As a result, research on fault diagnosis of manufacturing machines that utilizes data acquired by advanced sensors and makes decisions using processed sensor data has been seen success in various applications [1, 2, 3].
This paper presents theoretical background and results of experimental research into fault detection, isolation and restoration (FDIR) system for rotating machineries created in Department of Robotics and Mechatronics, AGH University of Science and Technology in Cracow.
