Abstract: Inductor structure is provided, including: n inductors, each inductor including a base plate, a cover plate, a first magnetic column and a coil wound around the first magnetic column, n?2; m second magnetic column(s), each second magnetic column is disposed between at least two inductors, and has a first terminal connected to the cover plates of the at least two inductors, and a second terminal connected to the base plates of the at least two inductors, m<n, wherein the inductor and the second magnetic column connected with and disposed on one side of the inductor constitute an inductor unit, and the n inductors and the m second magnetic column(s) constitute multiple inductor units, wherein each inductor unit includes at least one air gap. Multiple inductors arranged close to each other are integrated in a small space, and not affected by mutual magnetic influence, which helps to realize miniaturization.

Abstract: Inductor structure is provided, including: n inductors, each inductor including a base plate, a cover plate, a first magnetic column and a coil wound around the first magnetic column, n?2; m second magnetic column(s), each second magnetic column is disposed between at least two inductors, and has a first terminal connected to the cover plates of the at least two inductors, and a second terminal connected to the base plates of the at least two inductors, m<n, wherein the inductor and the second magnetic column connected with and disposed on one side of the inductor constitute an inductor unit, and the n inductors and the m second magnetic column(s) constitute multiple inductor units, wherein each inductor unit includes at least one air gap. Multiple inductors arranged close to each other are integrated in a small space, and not affected by mutual magnetic influence, which helps to realize miniaturization.

Abstract: The present invention relates to a leak detection method for GIS based on vibration signals and belongs to the technical field of apparatus for detecting or reacting mechanical or electrical troubles. The method is carried out by the following steps: 1) Installing a vibration sensor on each connecting flange of each gas-tight chamber of the GIS; 2) Starting the GIS; 3) Acquiring the vibration signals of sensors when the GIS operation is stable after starting; 4) Doing de-noise processing on the collected vibration signal; 5) Doing 4-layer wavelet packet decomposition of the vibration signal after noise reduction to obtain the energy proportion of the vibration signal in each frequency band; 6) Analyzing the energy proportion of the vibration signal in each frequency band in step 5), Then alarm to notify the relevant personnel. Return to step 3) until the fault has been solved.

Abstract: A low cost, low profile, small size and high performance inductive device for use in electronic circuits. In one exemplary embodiment, the device includes a ferrite core comprising a step gap, a winding disposed on the core, and a magnetic powder and epoxy mixture packed in to create a cubic-shaped inductor optimized for electrical and magnetic performance. Additionally, the incorporation of the magnetic powder and epoxy mixture around the step gap eliminates fringing magnetic fields during device operation thereby minimizing adverse electromagnetic inference on adjacently disposed electronic components. The geometry and placement of the step gaps can be varied in order to optimize performance parameters associated with the underlying inductive device. Methods of manufacture and use for the inductive device are also disclosed.

Abstract: The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5) if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again.

Abstract: The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5) if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again.

Abstract: The present invention relates to a leak detection method for GIS based on vibration signals and belongs to the technical field of apparatus for detecting or reacting mechanical or electrical troubles. The method is carried out by the following steps: 1) Installing a vibration sensor on each connecting flange of each gas-tight chamber of the GIS; 2) Starting the GIS; 3) Acquiring the vibration signals of sensors when the GIS operation is stable after starting; 4) Doing de-noise processing on the collected vibration signal; 5) Doing 4-layer wavelet packet decomposition of the vibration signal after noise reduction to obtain the energy proportion of the vibration signal in each frequency band; 6) Analyzing the energy proportion of the vibration signal in each frequency band in step 5), Then alarm to notify the relevant personnel. Return to step 3) until the fault has been solved.

Abstract: A low cost, low profile, small size and high performance inductive device for use in electronic circuits. In one exemplary embodiment, the device includes a ferrite core comprising a step gap, a winding disposed on the core, and a magnetic powder and epoxy mixture packed in to create a cubic-shaped inductor optimized for electrical and magnetic performance. Additionally, the incorporation of the magnetic powder and epoxy mixture around the step gap eliminates fringing magnetic fields during device operation thereby minimizing adverse electromagnetic inference on adjacently disposed electronic components. The geometry and placement of the step gaps can be varied in order to optimize performance parameters associated with the underlying inductive device. Methods of manufacture and use for the inductive device are also disclosed.

Abstract: This invention publishes a fault diagnosis and location system for transformer core looseness, consists of vibration sensors, data collection and computer. It is of power transformer fault intelligent diagnosis technology technical field. Fault diagnosis and location method uses three vibration sensors positioned on the top of transformer tank, to obtain vibration signal, uses signal processing to analyze the signal, and obtains fault characteristics of the transformer core looseness. The characteristics respectively are 50 Hz, 150 Hz and 300 Hz frequency components, in which 300 Hz is main feature. When they reach a certain value at one position, it suggests that transformer core looseness near this position. By the comparison of differences among signals of three positions, fault location can be done. This invention manifests fault characteristics accurately and detects core looseness efficiently.

Abstract: This invention publishes a fault diagnosis and location system for transformer core looseness, consists of vibration sensors, data collection and computer. It is of power transformer fault intelligent diagnosis technology technical field. Fault diagnosis and location method uses three vibration sensors positioned on the top of transformer tank, to obtain vibration signal, uses signal processing to analyze the signal, and obtains fault characteristics of the transformer core looseness. The characteristics respectively are 50 Hz, 150 Hz and 300 Hz frequency components, in which 300 Hz is main feature. When they reach a certain value at one position, it suggests that transformer core looseness near this position. By the comparison of differences among signals of three positions, fault location can be done. This invention manifests fault characteristics accurately and detects core looseness efficiently.