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200 results about "Critical threshold" patented technology

Individual recognition method and device based on multimode biological recognition information

The invention provides an individual recognition method and device and a program. The method comprises the steps that candidates, with matching degrees higher than a first critical threshold in regard to a first biological feature, in a database are determined as a candidate set; the candidate, with the matching degree higher than a first threshold in regard to the first biological feature, in the candidate set is determined as an individual, and recognition is exited; when all the matching degrees, in regard to the first biological feature, of the candidates in the candidate set are not higher than the first threshold, the candidate cannot be judged in the first judgment part, the candidate, with the matching degree higher than a second critical threshold in regard to a second biological feature, in the candidate set is determined as the individual, and recognition is exited; and when the candidate set is empty, the candidate, with the matching degree higher than a second threshold in regard to the second biological feature, in the database is determined as the individual, and recognition is exited, wherein the first threshold is higher than the first critical threshold, and the second threshold is higher than the second critical threshold. Through the method, a high passing rate and high precision of face recognition and anti-fake capability of palm recognition are achieved at the same time, matching time is shortened while accuracy is ensured, and recognition efficiency is improved.
Owner:厦门熵基科技有限公司

System and method for high-speed detection of loosening of railway fasteners on basis of infrared thermal imaging

The invention discloses a system and a method for high-speed detection of loosening of railway fasteners on the basis of infrared thermal imaging. The system comprises two detectors, a controller and cables, the two detectors are positioned on the lower side of a body of a train and respectively opposite to the upper side of a left steel rail and the upper side of a right steel rail, the controller is mounted in a carriage and connected with the two detectors by the cables, digital infrared cameras are arranged inside the detectors, and whether the fasteners are loosened or lost or not is automatically judged by direct acquisition of infrared thermal images generated by contact stress of the fasteners and the steel rails, image processing and mode identification. The viewing field of each camera is centered at the position of the corresponding fastener, and image sampling and processing are carried out in selective small ranges of the fields of the view. During running of the train, sampling interval is adjusted if the positions of the fasteners are improper. Whether the maximum stress points in the infrared images are lower than a critical threshold or not is judged by an industrial computer so as to judge whether the fasteners are loosened or not, warning signals are transmitted if the fasteners are loosened, and early warning is realized before the fasteners are lost.
Owner:上海砺晟光电技术有限公司

Real-time vibration-aging vibration level testing system and automatic adjustment method

ActiveCN103773945AGet informed in real timeAccurately informedControl signalSignal generator
The invention relates to a real-time vibration-aging vibration level testing system. The real-time vibration-aging vibration level testing system comprises a processor, a signal generator, a driver, a vibration exciter, an acceleration sensor, a charge amplifier, an oscilloscope and a support device, wherein a member is fixedly connected with the vibration exciter; the processor controls the signal generator to output sinusoidal excitation signals, of which the amplitude and frequency are independent and are continuously adjustable; the processor comprises a voltage waveform reading module, a voltage identification module, a vibration level detection module and a critical threshold setting module. An automatic vibration level adjustment method comprises the steps that the member is fixedly connected with the vibration exciter; the vibration level detection module is subjected to parameter value setting; the voltage waveform reading module acquires a voltage waveform displayed by the oscilloscope; the voltage identification module acquires voltage peaks; the processor determines first excitation frequency of vibration aging; the processor determines second excitation frequency of vibration aging and enables the vibration exciter to carry out vibration aging treatment on the member at the second excitation frequency. The system and the method have the advantages that the vibration level can be accurately tested in real time, and the vibration level can be adjusted automatically.
Owner:ZHEJIANG UNIV

Chaos-based method for detecting and classifying early single-point faults of mechanical component

The invention discloses a chaos-based method for detecting and classifying early single-point faults of a mechanical component. The method comprises the following steps of: processing conventional sample fault signals in different states of the mechanical component to establish check intervals for different fault types; acquiring fault characteristic frequencies corresponding to all single-point fault states of the mechanical component to construct a frequency matrix of a Duffing chaotic oscillator; solving critical thresholds of periodic driving force amplitudes corresponding to different fault characteristic frequencies to construct a frequency-threshold matrix; and finally, adding a signal to be detected to calculate the maximum Lyapunov exponent matrix M, checking according to data inthe M, calculating correlation dimension of the signal to be detected if a fault signal is available, and classifying the faults to determine a fault mode in comparison with the established correlation dimension intervals for different fault types. By adopting the method, the early single-point faults of the mechanical component are detected and classified; and the method has high noise resistance capacity and extremely high fault detection success rate.
Owner:BEIHANG UNIV
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