36 results about "Isolation rate" patented technology

The invention discloses a production method of an anti-ultraviolet fiber. In a slice polymerization process of spinning, a step of adding an ultraviolet isolation factor solution with bamboo charcoal as a carrier is also contained, and mass percent of the ultraviolet isolation factor with the bamboo charcoal as the carrier in fiber is 3-5%. According to the production method of the anti-ultraviolet fiber, porosity and adsorbability of the bamboo charcoal are utilized, and the bamboo charcoal becomes a carrier of the ultraviolet isolation factor and fluorine; the ultraviolet isolation factor has good anti-ultraviolet capability, and ultraviolet isolation rate is more than 95%; fluorine is doped, so that the ultraviolet isolation factor has oxygen vacancies on the surface, has visible light response catalytic activity and also has higher photocatalytic activity compared with a common ultraviolet isolation factor, and the bamboo charcoal as the carrier also has the function of adsorbing harmful substances, so that functionality of fiber fabric is effectively enhanced.

The invention relates to the field of iron and steel smelting, in particular to the field of slag pot isolation spraying coatings, and discloses a slag pot isolation spraying coating. The slag pot isolation spraying coating is prepared from, by mass, 85-92 parts of high bauxite clinker with the particle size smaller than or equal to 200 mesh, 3-10 parts of powdery graphite and 3-5 parts of portland cement. A preparing method includes the steps that the materials are prepared; the high bauxite clinker and the portland cement are stirred for 20 min to 40 min under the condition of 80 DEG C to 90 DEG C; the mixture is subjected to cold cutting to be at the room temperature, the graphite is added, the mixture is stirred to be even, and the slag pot isolation spraying coating is obtained. The invention further discloses an applying mode of the spraying coating. According to the slag pot isolation spraying coating, the preparing method and the applying mode, the pot isolation rate of slag pots can be 99% or above, persistent attachment hardly exists on slag pots, the damage rate of slag pots can be effectively reduced, the production efficiency can be improved, and the unnecessary production input can be reduced.

The invention discloses a method for calculating the testability index of a board-level circuit. According to the test information database and combined with the device information in the circuit, a dependency matrix Du independent of signal flow and position is constructed, and the highest fault detection rate is obtained by calculating the dependency matrix Du. Then the dependency matrix Du is reconstructed to obtain the reconstruction matrix, which realizes the isolation of devices in different positions in the same type of devices, and the highest fault isolation rate is calculated according to the reconstruction matrix, and the fault isolation rate of the current test selection is calculated according to the Boolean vector selected by the test. It can be seen that the present invention realizes the calculation of various testability indicators in the board-level circuit through the construction and reconstruction of the dependency matrix Du which is not related to the signal flow.

The invention discloses a method for determining the diagnosability of an angular rate measuring sensor of a satellite based on a correlation matrix. The method comprises the following steps of: (1) dividing functional modules of the angular rate measuring sensor, establishing a signal flow diagram of each module, and marking specified measuring points in the signal flow diagram; (2) performing failure mode and effect analysis (FMEA) on the angular rate measuring sensor, determining the failure mode, failure occurrence probability, failure severity and failure effects of the angular rate measuring sensor, and according to the failure effects, adding the failure mode into the signal flow diagram; (3) establishing a failure-measuring point correlation matrix; (4) assigning the failure-measuring point correlation matrix; (5) according to the failure-measuring point correlation matrix D which is established in the step (4), performing failure detectability analysis on the angular rate measuring sensor; (6) according to the failure-measuring point correlation matrix D which is established in the step (4), performing failure isolability analysis on the angular rate measuring sensor; and (7) determining the diagnosability of the angular rate measuring sensor, and measuring the diagnosability according to failure detection rate RD and failure isolation rate RI.