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Nowadays, many computer diagnosis methods have been used to achieve intelligent identification of the dynamometer cards.
Therefore, the future behavior of the system is predicted based on the intelligent identification method in order to be used for designing the controller.
Due to the complicated structure and varying operating conditions of machinery in various applications, intelligent identification of the health state based on the vibration data is still a great challenge in fault diagnosis.
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An online intelligent system identification approach for the mold cooling process is developed and tested.
This study reports the design and development of the intelligent dental identification system (IDIS), including its efficiency and reliability.
Even though rapid advances in intelligent firearm identification have been made in recently years, the major practical and theoretical problems are still unsolved.
By analyzing the catenary fittings using intelligent image identification algorithms, the image-based non-contact catenary methods are able to detect geometry parameters of pantographs and catenaries, as well as to recognize the faults of the pantograph catenary system [75].
To improve the ability of rolling bearing fault diagnosis under multi-rotating situation, this paper proposes a novel rolling bearing fault characteristic product function correntropy (PFC), and employs Least Square Support Vector Machine (LSSVM) to implement intelligent fault identification of rolling bearings under multi-stationary working situations.
In current study, we present an improved intelligent recognition system (i-RS) with hardware description language to build a real-time decision making which helps the anesthesiologist in epidural space identification.
An intelligent hydrometeor-type identification system for dual polarization Doppler weather radar data has been developed.
This paper proposes an intelligent model parameter identification method using particle swarm optimization (PSO).
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