33results about How to "The identification process is simple" patented technology

The invention belongs to the technical field of identifying synchronous generator parameters, and relates to a method for identifying the synchronous generator parameters by an improved evolution algorithm. Starting from an randomly-generated initial generator parameter group, optimal solution is searched through generation of an initial group, fitness calculation, recombination, mutation and selection, and stopping operation according to operating principles of struggle for existence and survival of the fittest by using actual measurement data in a power management unit (PMU) in a wide area measurement system (WAMS); and an improved evolution strategy algorithm of biomimicry is taken as optimizing theoretical basis, the decoupling of a direct axis and a quadrature axis of the synchronousgenerator and steady state and transient state are processed separately, an initial practicable parameter group is established through design parameters, and a differential equation of a higher orderis calculated by selecting a high-precision improved Euler method, so that the output variable set by the generator is solved, the optimizing process is realized through recombination, mutation and selection of the initial group, and the synchronous generator parameters are identified. The method is simple and has a reliable principle, and the correctness of the parameter identification is high.

The invention provides a molecular marker composition for identifying eggplant germplasm resources and application of the molecular marker composition. The molecular marker composition consists of 17SNP and InDel markers, and primer sequences for amplifying the molecular marker composition are shown in SEQ ID NO:1-18 respectively. The molecular marker composition expands the available marker siterange of eggplants, and the method for indentifying 12 parts of eggplant germplasm resources by the molecular marker composition is simple to operate, high in accuracy and reliable in result. The molecular marker composition has important theoretical and application values in aspects of eggplant germplasm resource identification, DNA fingerprint drawing, variety protection and management and thelike.

The invention discloses a flowmeter cleaning and flowmeter adapter automatic installing line which comprises a cleaning station, a screening station, a visual inspection station and an assembling station. The cleaning station is composed of high-pressure water guns, a rotary bottom disc and a spiral guide plate. The screening station is composed of a primary posture correction conveying belt and a secondary posture correction conveying belt which is connected with a conveying line. The visual inspection station is composed of two collinear cameras symmetrically distributed on the two sides of the conveying line. The assembling station is composed of two collinear manipulators symmetrically distributed on the two sides of the conveying line. Flowmeter cleaning and flowmeter adapter automatic installing are achieved through the cleaning station, the screening station, the visual inspection station and the assembling station which are arranged in sequence, thus the flowmeter evaluation efficiency can be improved, and meanwhile, the evaluation process is simplified.

The invention provides an early friction instability fault identification method for a sleeve tooth connection structure. Firstly, a critical rotating speed of a rotor system with a sleeve tooth connection structure is determined, the critical rotating speed of the rotor system can be calculated through adopting a finite element method, and a sleeve tooth friction early-stage instability fault characteristic frequency band is determined. In actual operation, a first-order critical rotating speed of the rotor system can be obtained through adopting an experimental method or a commercial software calculation method. Vibration signals of the rotor system are collected, the rotating speed is collected, whether the rotating speed is slightly higher than the first-order critical rotating speed or not is further judged, vibration signals in the characteristic frequency band are collected, the sleeve tooth friction early-stage instability fault characteristic value is calculated, and whether the sleeve tooth friction early-stage instability fault occurs or not is judged according to the characteristic value. According to the early friction instability fault identification method, heavy loss caused by instability faults can be effectively avoided, the identification process is simple, the operand is small, the response time is at the millisecond level under a mainstream computing platform, the response is rapid, the method can be completely expanded and applied to airborne equipment, and the method has high engineering application value.