EMU Traction Transformer Oil Pump Remote Fault Monitoring and Early Warning System and Method

A traction transformer and fault monitoring technology, applied in the field of transformer oil pumps, can solve problems such as inability to intuitively respond to fault conditions, inability to use information management, and inability to realize remote monitoring and early warning, so as to ensure timeliness and effectiveness and improve customer The effect of experience and low cost

Active Publication Date: 2018-04-24
ZHEJIANG ERG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the technical solution disclosed in this patent has the following disadvantages: 1. It can only detect the displacement of the rotor in the Z-axis direction and the X-axis direction. When the rotor bearing is displaced in the y-axis direction, it cannot be detected.
2. Only the analog signal of voltage value can be output, which cannot intuitively reflect the fault situation, and the output signal cannot meet the needs of information management; 3. Intelligent on-site detection and early warning cannot realize remote monitoring and early warning

Method used

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  • EMU Traction Transformer Oil Pump Remote Fault Monitoring and Early Warning System and Method
  • EMU Traction Transformer Oil Pump Remote Fault Monitoring and Early Warning System and Method
  • EMU Traction Transformer Oil Pump Remote Fault Monitoring and Early Warning System and Method

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Embodiment 1

[0039] Such as figure 1 As shown, the EMU traction transformer oil pump remote fault monitoring and early warning system includes on-site monitors, cloud computing centers and clients. There are n on-site monitors, m clients, n on-site monitors and m clients Each is configured with a unique identification barcode and is connected to the cloud computing center through a wireless network. Each on-site monitor is used to detect the offset of the corresponding transformer rotor bearing 2 and output the detection results. In detail, the offset of the rotor bearing 2 includes its X-axis direction, Y-axis direction and Z-axis direction. displacement, the X-axis, Y-axis and Z-axis are three mutually perpendicular coordinate axes of a spatial Cartesian coordinate system established with the center of one end face of the rotor bearing 2 as the origin and the axis line of the rotor bearing 2 as the X-axis , the X axis is a horizontal axis, the Y axis is a vertical axis, and the Z axis i...

Embodiment 2

[0048] Such as Figure 9 As shown, in this embodiment, the EMU traction transformer oil pump remote fault monitoring and early warning system is basically the same as in Embodiment 1, the difference is that the EMU traction transformer oil pump remote fault monitoring and early warning system in this embodiment It also includes the enterprise data center, which is connected to the cloud computing center through a wireless network, and the enterprise data center receives and backs up the data of the cloud computing center. The enterprise data center mentioned here mainly serves the oil pump production enterprises. Through the enterprise data center, the operation data of the oil pump can be backed up to ensure the security of the data, which can facilitate the analysis and research of the data by the oil pump production enterprises.

Embodiment 3

[0050] Such as Figure 10 As shown, in this embodiment, the EMU traction transformer oil pump remote fault monitoring and early warning system is basically the same as in Embodiment 1, the difference is that the field monitor in this embodiment also includes The current acquisition module and the GPS module for positioning the on-site monitor are connected with the controller. The working condition of the oil pump can be further judged by collecting the working current of the oil pump; the location management of the oil pump is facilitated by setting the GPS module.

[0051] Such as Figure 8 As shown, the remote fault monitoring and early warning method of the traction transformer oil pump of the EMU comprises the following steps:

[0052] A. Establish the PCA principal component model: collect the historical operation data of the oil pump under normal working conditions through the on-site monitor, and then input the historical operation data into the cloud computing cente...

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Abstract

The invention provides a remote fault monitoring and pre-warning system and method for motor train unit traction transformer oil pumps and belongs to the technical field of transformers. The problem that in the prior art, devices for remotely monitoring the offset of bearings of the transformer oil pumps are lacked is solved by the remote fault monitoring and pre-warning system and method for the motor train unit traction transformer oil pumps. The fault monitoring and pre-warning system comprises a cloud calculation center, a plurality of in-situ monitors and a plurality of clients, wherein the in-situ monitors and the clients are connected with the cloud calculation center; and the in-situ monitors are used for detecting the offset of rotor bearings of transformers; the cloud calculation center is used for analyzing data, judging the operation condition of the transformer oil pumps corresponding to the in-situ monitors and outputting the result to the clients to be displayed. The method includes the steps that A, a PCA pivot element model is established; B, comparing judgment is performed; and C, the comparison result is output. The remote fault monitoring and pre-warning system and method for the motor train unit traction transformer oil pumps can achieve local and remote fault monitoring and pre-warning of the transformers, monitoring is comprehensive, real-time display is achieved, and practicability is high.

Description

technical field [0001] The invention belongs to the technical field of transformer oil pumps, and relates to a remote fault monitoring and early warning system and method for traction transformer oil pumps of motor trains. Background technique [0002] The "Harmony" series of high-speed EMUs are all power-distributed AC drive EMUs. The process of converting electrical energy into mechanical energy for AC drive EMUs is: catenary provides 25kV single-phase power frequency high voltage power → traction transformer steps down the high voltage power → the step-down single-phase power frequency power is output to traction converter →The traction converter completes the rectification, filtering and inversion, and outputs three-phase AC power with adjustable frequency and voltage →drives the three-phase AC asynchronous traction motor →train operation. It can be seen that the traction transformer is the power core of the EMU train. When a high-power traction transformer is working,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F04B49/06F04B49/10F04B51/00
CPCF04B49/065F04B49/10F04B51/00F04B2207/70G01M13/04G01M17/08
Inventor 黎贤钛陈文联张世荣张其强王道华
Owner ZHEJIANG ERG TECH
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