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    • 1. 发明专利
    • WATER HEAT STORAGE TANK AND WATER HEAT STORAGE DEVICE
    • JPH1144440A
    • 1999-02-16
    • JP21586597
    • 1997-07-24
    • KAWASAKI HEAVY IND LTDTOKYO ELECTRIC POWER CO
    • MASUYAMA KAZUOTANAKA HIDEOTAJIRI HIRONORISHIBATA SOICHIROHAMAYASHIKI TAKESHI
    • F24F5/00
    • PROBLEM TO BE SOLVED: To permit the contriving of cost down as well as the formation of a sufficient temperature stratification and realize a high heat storage efficiency by a method wherein the tank main body of a sealed and pressure resistant structure is formed by connecting lids, made of a steal sheet, to the upper end as well as the lower end of a continuous spiral steel pipe while a distributor and a high-temperature side water flow passing pipe are incorporated into the tank main body. SOLUTION: A water heat storage tank 21, employed for the air conditioning and the like of a large-scale factory and the like, capable of being installed at an outdoor vacant land, is provided with a tank main body 20 of a sealed and pressure resistant structure, in which lids 16, 18, made by a steel sheet, are attached to the upper and lower ends of a continuous and large diametral spiral steel pipe. In this case, an upper distributor 22 and a lower distributor 24 are provided at upper and lower parts in the tank main body to constitute a temperature stratification at the upper and lower parts in the tank main body 20 and keep a high heat storage efficiency while the distributors 22, 24 are formed by providing a plurality of sets of openings 26 on both left and right sides of a horizontal tube in the lengthwise direction of the same. On the other hand, low-temperature side water inlet and outlet port nozzles 28 are connected to the lower distributor 24 and a high-temperature side water flow passing pipe 30, drooping along the inner wall of the tank main body 20, is connected to the upper distributor 22 while high-temperature side water inlet and outlet port 32 is connected to the lower end of the high-temperature side water flow passing pipe 30.
    • 4. 发明专利
    • DETECTING METHOD FOR PARTIAL DISCHARGE
    • JPH07262866A
    • 1995-10-13
    • JP5161894
    • 1994-03-23
    • TOKYO ELECTRIC POWER COTOSHIBA CORP
    • TANAKA HIDEOOGI HIROMIOKI ISAOUCHIDA YOKOMARUYAMA SHIROHIRATA KENJI
    • H01H9/50
    • PURPOSE:To perform exact and high-speed partial discharge detection without adversely effected by noise by utilizing the difference in characteristics between the cumulative value distribution pattern of the frequency characteristic data of a partially discharged waveform having the possibility of generation in an insulated apparatus and the cumulative value distribution pattern of the frequency characteristic data of a noise waveform. CONSTITUTION:Partial discharge detection is done in accordance with the following steps (STs): ST1: Generates partial discharge or a noise in a gas insulated apparatus; ST2: to detect its partial discharge waveform or its noise waveform; ST3: to extract the characteristics of its frequency characteristic data from the resulting detected waveform for standardization; ST4: to pattern the cumulative value distribution of frequency characteristic data; to obtain the pattern data of the cumulative value distribution of the detected waveform frequency characteristic data; ST5: to input the resulting data in a neural network; ST6: to determine whether the detected waveform is the waveform generated by the partial discharge or the noise; ST7: to finally display the determined result.
    • 5. 发明专利
    • JPH05333079A
    • 1993-12-17
    • JP14156492
    • 1992-06-02
    • MITSUBISHI ELECTRIC CORPTOKYO ELECTRIC POWER CO
    • IZUI YOSHIOOGI HIROMITANAKA HIDEOAKIMOTO NORIAKI
    • G01R31/00G01R31/12G05B23/02H02H1/00H02H7/22
    • PURPOSE:To identify the cause of an abnormality as well as the information whether normal or abnormal by providing a neural circuit network device identifying the cause of the abnormality in the case an unknown sensor output is input. CONSTITUTION:If a foreign material 5 comes in and partial discharge 6 is caused, internal insulation gas is vibrated and the vibration propagates to a tank 2. As a result, the tank 2 mechanically vibrates and the vibration is obtained as acceleration change in an accelaration sensor 7 output. A calculator 8 converts it to a spectrum with an FFT and a calculator 9 time-averages it. A calculator 10 normalizes the magnitude and inputs in a neural circuit network device 11. As in the neural circuit network device 11, the relation between the abnormality cause and the spectrum memorized as learned data is stored as each combining weight 19, a neural element corresponding to the abnormality cause outputs a large power based on the memory when an unknown spectrum of the acceleration sensor is input. As the result, not only abnormal or normal is identified but also the generation of the abnormal state corresponding to the label according to the output layer 18b of the neural element which is generated in an electric appliance such as gas insulation breaker, is identified.
    • 9. 发明专利
    • NEURAL CIRCUIT NETWORK DEVICE
    • JPH0476685A
    • 1992-03-11
    • JP18649790
    • 1990-07-12
    • MITSUBISHI ELECTRIC CORPTOKYO ELECTRIC POWER CO
    • AKIMOTO YOSHIAKITANAKA HIDEOOGI HIROMIIZUI YOSHIOTAOKA HISAOSAKAGUCHI TOSHIAKI
    • G06G7/60G06F15/18G06N3/08G06N99/00
    • PURPOSE:To shorten an execution time due to learning by setting up values obtained by respectively multiplying the input value of learning data and a value calculated from frequency by an output value and a prescribed coefficient as coupling weight between an intermediate layer and an output layer. CONSTITUTION:This neural circuit network device is constituted of an input layer 11a, an intermediate layer 11b and an output layer 11c and provided with plural nerve elements 11 simulating nerve cells in an organism and coupling weight for coupling between nerve element layers. Then frequency for the learning data constituted of a pair of an input value obtained at a fixed interval and an output value corresponding to the input value is set up as coupling weight for coupling the input layer and the intermediate layer by using a procedure for developing a function forming the learning data by a sampling function, developing the sampling function by a triangular function and approximating the triangular function by a sigmoid function, a value calculated by the frequency and the input value of the learning data is set up as the bias of the intermediate layer, and a value obtained by the frequency and the input value and output value of the learning data is set up as coupling weight for coupling the intermediate layer and the output layer to rapidly obtain a required output.