A traction fan fault diagnosis test bench based on multi-source signal fusion

Abstract

The present invention discloses a traction fan fault diagnosis test bench based on multi-source signal fusion. The test bench includes: a chassis that simulates a real traction system, a fan assembly, a data acquisition assembly containing a variety of sensors, a simulation assembly, and a processing assembly. By setting partitions inside the chassis, the present invention simulates the real structure and heat dissipation effect of the traction system chassis, and can collect operation data of the traction fan that is closer to the real working environment. At the same time, a variety of different types of sensors are also set to collect multi-source data. The collected data is fused through a processing device, and algorithms such as deep learning networks are used to learn the fault characteristics of various signals such as sound, current, and vibration, so as to achieve the effect of autonomous diagnosis. Compared with the prior art, it can improve the comprehensiveness of signal acquisition, the automation of signal transmission, processing, and analysis in the process of studying the faults of traction fans, thereby assisting researchers to improve the efficiency and accuracy of the research on the fault diagnosis of traction fans.

Description

Technical Field

[0001] The present invention relates to the technical field of fan fault diagnosis, and in particular to a traction fan fault diagnosis test bench based on multi-source signal fusion. Background Art

[0002] The traction system of a motor vehicle is responsible for providing driving force for the entire EMU. During operation, a large amount of heat accumulates in the traction system, and heat dissipation devices such as cooling fans are required to dissipate the heat in a timely manner to ensure the normal operation of the traction system. Therefore, how to ensure the normal operation of the cooling fan and promptly eliminate the faults of the cooling fan is an important part of maintaining the continuous operation of the traction system.

[0003] Regarding the factors causing faults in the cooling fan, it is difficult for ordinary enterprises to obtain relevant data. The conventional method is to collect data on the exposed fan, but its authenticity is divorced from the actual working conditions. Although a complete traction system can obtain realistic data, the cost is extremely high. Moreover, in the above data acquisition process, there are limitations such as a single type of data signal collection and a backward network model. Therefore, while ensuring the working effect of the heat dissipation system, simplifying the internal structure and required components of the traction system, developing an economically feasible fan test bench, designing a reasonable test plan, and collecting the operation data of the cooling fan closest to the actual working environment are of great significance.

[0004] In the prior art, the fault diagnosis of the traction fan is studied by collecting and analyzing the vibration data of the fan bearing, and then transferring the recorded data from the acquisition device to the computing power workstation for algorithm research. The operation is complex and inefficient, the types of collected data signals are single, and the data cannot simulate the actual situation, which cannot meet the research needs of fault diagnosis.

[0005] Therefore, the prior art still needs to be improved and developed. Summary of the Invention

[0006] In order to solve the problems in the prior art that the fault diagnosis of the traction fan is studied by collecting and analyzing the vibration data of the fan bearing, and then transferring the recorded data from the acquisition device to the computing power workstation for algorithm research, with complex operation, low efficiency, single type of collected data signals, and the data not being able to simulate the actual situation and thus not meeting the research needs of fault diagnosis, the present invention proposes a traction fan fault diagnosis test bench based on multi-source signal fusion.

[0007] The present invention is achieved through the following technical solutions:

[0008] A traction fan fault diagnosis test bench based on multi-source signal fusion, wherein the traction fan fault diagnosis test bench based on multi-source signal fusion includes:

[0009] A chassis, inside which an electronic component chamber and a fan chamber are separated and arranged, and the fan chamber is communicated with the electronic component chamber;

[0010] A fan assembly, which is fitted in the fan chamber;

[0011] A data acquisition component, which includes a vibration sensor and a sound sensor arranged on the fan assembly, a temperature sensor and a current sensor arranged in the electronic component chamber;

[0012] An analog component, which includes a heating mechanism arranged in the electronic component chamber;

[0013] A processing component, which contains a PLC module, is arranged in the electronic component chamber, and is electrically connected to the fan assembly, the data acquisition component and the analog component.

[0014] The traction fan fault diagnosis test bench based on multi-source signal fusion, wherein the electronic component chamber includes a first component chamber and a second component chamber arranged on both sides of the fan chamber and communicated with the fan chamber;

[0015] A plurality of first ventilation holes are arranged on the side wall of the chassis corresponding to the first component chamber;

[0016] A plurality of second ventilation holes are arranged on the side wall of the chassis corresponding to the second component chamber.

[0017] The traction fan fault diagnosis test bench based on multi-source signal fusion, wherein the fan chamber penetrates through two opposite side walls of the chassis;

[0018] A fan chamber baffle is detachably arranged on the chassis, and the fan chamber baffle covers both ends of the penetration of the fan chamber.

[0019] The traction fan fault diagnosis test bench based on multi-source signal fusion, wherein a first air guide port is arranged at the bottom of the fan chamber, and the space corresponding to the first air guide port is communicated with the first component chamber;

[0020] An air duct top plate connected to the side wall of the chassis is arranged in the first component chamber;

[0021] A plurality of air duct rib plates connected to the air duct top plate and the chassis bottom plate are arranged below the air duct top plate, and a plurality of diversion holes are arranged in a hollowed-out manner on the plurality of air duct rib plates.

[0022] The traction fan fault diagnosis test bench based on multi-source signal fusion, wherein a filter screen is arranged at the position corresponding to the air duct rib plates in the first component chamber;

[0023] A number of second air guiding openings are provided on the side wall of the second component chamber corresponding to the blower chamber, and dust-proof nets are embedded in the second air guiding openings.

[0024] The traction blower fault diagnosis test bench based on multi-source signal fusion, wherein, the blower assembly includes:

[0025] An external rotor centrifugal blower, and the vibration sensor and the sound sensor are fixedly arranged on the external rotor centrifugal blower;

[0026] A frame, the frame is connected to the bottom plate of the blower chamber by bolts, the external rotor centrifugal blower is fixedly connected to the frame, and the external rotor centrifugal blower corresponds to the position of the first air guiding opening.

[0027] The traction blower fault diagnosis test bench based on multi-source signal fusion, wherein, two heating mechanisms are provided, and the two heating mechanisms are respectively fixedly arranged in the first component chamber and the second component chamber;

[0028] Two temperature sensors are provided, and the two temperature sensors are respectively fixedly arranged in the first component chamber and the second component chamber.

[0029] The traction blower fault diagnosis test bench based on multi-source signal fusion, wherein, the processing component includes:

[0030] The PLC module, the PLC module is arranged in the first component chamber;

[0031] An edge calculator, the edge calculator is arranged in the second component chamber, and the edge calculator is electrically connected to the PLC module;

[0032] The data acquisition component further includes a data collector, the current sensor is integrally arranged in the data collector, the vibration sensor, the sound sensor and the temperature sensor are electrically connected to the data collector, and the data collector is electrically connected to the edge calculator.

[0033] The traction blower fault diagnosis test bench based on multi-source signal fusion, wherein, a touch display is also embedded on the side wall of the chassis corresponding to the second component chamber, the touch display is electrically connected to the edge calculator, and the touch display is used for feedback data information.

[0034] The traction blower fault diagnosis test bench based on multi-source signal fusion, wherein, the two opposite ends of the chassis corresponding to the first component chamber and the second component chamber are open, the chassis includes two chassis side plates, and the two chassis side plates are respectively detachably connected to the open parts at the two opposite ends of the chassis.

[0035] The beneficial effects of the present invention are as follows: By setting partitions inside the chassis to simulate the real structure and heat dissipation effect of the traction system chassis, the operation data of the traction fan closer to the real working environment can be collected. At the same time, a variety of different types of sensors are set to collect multi-source data, and the collected data forms multi-source fusion through a processing device. Combining with software such as a deep learning network to learn the fault characteristics of various signals such as sound, current, and vibration, an autonomous diagnosis effect can be formed. Compared with the prior art, the comprehensiveness of signal collection in the process of studying traction fan faults can be improved, and the automation of signal transmission, processing, and analysis can be achieved, thereby assisting researchers to improve the efficiency and accuracy of traction fan fault diagnosis research. Brief Description of the Drawings

[0036] Figure 1 is an exploded view of the structure of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0037] Figure 2 is a top exploded view of the structure of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0038] Figure 3 is a top view of the installation state of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0039] Figure 4 is a chassis structure diagram of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0040] Figure 5 is a schematic diagram of the structure of the fan assembly of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0041] Figure 6 is a schematic diagram of the hardware structure of the PLC module of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0042] Figure 7 is a schematic diagram of the heating mechanism of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0043] Figure 8 is a schematic diagram of the structure of the temperature sensor of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0044] Figure 9 is a schematic diagram of the structure of the sound sensor of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention;

[0045] In Figures 1 to 9In the following: 100, chassis; 101, fan chamber baffle; 102, chassis side plate; 110, component chamber; 111, first component chamber; 111a, first ventilation hole; 112, second component chamber; 113, air duct top plate; 114, air duct rib plate; 115, diversion hole; 120, fan chamber; 121, first air guide port; 130, filter screen; 140, dust-proof net; 200, fan assembly; 210, external rotor centrifugal fan; 220, frame; 300, data acquisition assembly; 310, vibration sensor; 320, sound sensor; 330, temperature sensor; 340, data collector; 400, analog assembly; 410, heating mechanism; 500, processing assembly; 510, edge calculator; 520, PLC module; 600, touch display. Detailed implementation manners

[0046] To make the objectives, technical solutions and effects of the present invention clearer and more definite, the following further describes the present invention in detail with reference to the accompanying drawings and by way of examples. It should be understood that the specific examples described herein are only used to explain the present invention and are not used to limit the present invention.

[0047] It should be noted that if there are directional indications (such as up, down, left, right, front, back,...) involved in the embodiments of the present invention, the directional indications are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly.

[0048] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the fact that those skilled in the art can implement it. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0049] In the prior art, the fault diagnosis research on the traction fan is carried out by collecting and analyzing the vibration data of the fan bearing, and then transferring the recorded data from the acquisition device to the computing power workstation for algorithm research. The operation is complex and the efficiency is low. The types of collected data signals are single and the acquisition conditions are divorced from the real situation, which cannot meet the research needs of fault diagnosis.

[0050] Based on the above problems in the prior art, the present invention provides a traction fan fault diagnosis test bench based on multi-source signal fusion, as Figure 1As shown in the figure, the traction fan fault diagnosis test bench based on multi-source signal fusion includes: a chassis 100, with a component chamber 110 and a fan chamber 120 isolated inside the chassis 100, and the fan chamber 120 is communicatively connected to the component chamber 110; a fan assembly 200, which is fitted inside the fan chamber 120; a data acquisition component 300, which includes a vibration sensor 310 and a sound sensor 320 provided on the fan assembly 200, a temperature sensor 330 and a current sensor provided inside the component chamber 110; an analog component 400, which includes a heating mechanism 410 provided inside the component chamber 110; a processing component 500, which includes a PLC module 520, and the processing component 500 is provided inside the component chamber 110 and is electrically connected to the fan assembly 200, the data acquisition component 300 and the analog component 400.

[0051] In the present invention, by setting partitions inside the chassis 100 to simulate the real structure and heat dissipation effect of the traction system chassis 100, the operating data of the traction fan closer to the real working environment can be collected. At the same time, a variety of different types of sensors are also provided to collect multi-source data. The collected data forms multi-source fusion through a processing device, and cooperates with software such as a deep learning network to learn the fault characteristics of various signals such as sound, current, and vibration, so as to achieve the effect of autonomous diagnosis. Compared with the prior art, it can improve the comprehensiveness of signal acquisition, the automation of signal transmission, processing and analysis in the process of studying the traction fan fault, and thus can assist researchers to improve the efficiency and accuracy of the traction fan fault diagnosis research.

[0052] In the above embodiment, as Figure 1 and Figure 2 shown, the main body of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention is composed of a chassis 100, a fan assembly 200, a data acquisition component 300, an analog component 400 and a processing component 500. Among them, the structure of the chassis 100 simulates the structural relationship between the traction fan and the traction system. Inside the chassis 100, a component chamber 110 and a fan chamber 120 are isolated. Among them, the component chamber 110 is used to install functional components and is used to simulate the heat generation condition of the traction system, while the fan chamber 120 is used to install the fan assembly 200 to simulate the actual working state of the traction fan. In this embodiment, the fan chamber 120 is communicatively connected to the component chamber 110 to form a heat dissipation air path simulating the traction component in a real EMU.

[0053] The fan assembly 200 is fitted inside the fan chamber 120, and the fan assembly 200 adopts a fan structure similar to that of the traction fan, which will be described in detail below.

[0054] The data acquisition component 300 is used to collect various data during the operation of the fan component 200. In this embodiment, the data acquisition component 300 includes a vibration sensor 310, a sound sensor 320 disposed on the fan component 200, a temperature sensor 330 and a current sensor disposed in the component chamber 110. Among them, the vibration sensor 310 is used to obtain the vibration condition of the fan component 200 to determine whether there is a fault in the fan; the sound sensor 320 is used to judge the change in the sound when the fan blade is working, so as to judge whether there is a fault in the fan through the sound; the temperature sensor 330 is used to record the temperature change of the component chamber 110, so as to monitor the actual efficiency change of the fan cooling through the temperature; the current sensor is used to monitor the current supply condition of the fan component 200 to judge whether the fan component 200 is operating under the rated condition.

[0055] As Figure 3 and Figure 7 shown, the simulation component 400 specifically includes a heating mechanism 410 disposed in the component chamber 110. The heating mechanism 410 generates heat to simulate the heat generated during the actual operation of the traction system. In the working state of the fan component 200, the air duct can be formed through the chassis 100 to cool the inside of the component chamber 110. Due to the setting of the temperature sensor 330, it is convenient to monitor the change of the cooling efficiency under different fan component states, so as to facilitate the study of the influence of the fan fault in various situations on the change of the cooling efficiency.

[0056] The processing component 500 is disposed in the component chamber 110 and is circuit-connected to the above-mentioned fan component 200, data acquisition component 300 and simulation component 400. The processing component 500 is used to control the working conditions of the above-mentioned fan component 200 and simulation component 400, so as to simulate the heat generated by the real train traction system and the cooling effect of the real traction fan. At the same time, by processing the data collected by various sensors in the data acquisition component 300, the induction and summary of the data change can be realized. In this embodiment, the processing component 500 includes a PLC module 520. PLC, that is, Programmable Logic Controller (PLC), is a digital operation electronic system specially designed for application in industrial environments. It uses a programmable memory to store instructions for performing operations such as logical operations, sequential control, timing, counting, and arithmetic operations inside it, and controls various types of mechanical equipment or production processes through digital or analog inputs and outputs.

[0057] In this embodiment, by embedding a multi-source signal fusion algorithm and a deep learning network model in the PLC module 520 and other functional elements of the processing component 500, the signals obtained by the above-mentioned multiple sensors can be combined to form fused fault features, thereby enabling full automation of multi-source signal data acquisition, transmission, processing, and analysis, improving the fault diagnosis effect, and facilitating assisting researchers to improve research efficiency and accuracy.

[0058] Further, in a specific embodiment, as Figure 3 and Figure 4 shown, there are specifically two component rooms 110, namely the first component room 111 and the second component room 112. The first component room 111 and the second component room 112 are respectively arranged on both sides of the fan room 120 and are communicatively connected with the fan room 120. In this embodiment, the adjacent EMU traction systems can be simulated through the first component room 111 and the second component room 112, and the influence range of the traction fan can be simulated through the fan assembly 200 in the fan room 120. In addition, since the first component room 111 and the second component room 112 are respectively communicatively connected with the fan room 120, an air duct for specifically simulating the heat dissipation process can be formed to realize the research on the influence of the fan on the airflow change.

[0059] When specifically setting, since the chassis 100 is integrally enclosed, to achieve air circulation, as Figure 4 shown, a plurality of first ventilation holes 111a are further provided on the side wall of the first component room 111. The plurality of first ventilation holes 111a are hollowed out and arranged in an array, which can be used for air intake. A plurality of second ventilation holes (not shown in the figure) are further provided on the side wall of the second component room 112. The plurality of second ventilation holes are hollowed out and arranged in an array, which can be used for air exhaust, thereby forming a heat dissipation air duct communicating the inside and the outside of the chassis 100.

[0060] In another feasible embodiment of the present invention, as Figure 1 shown, when specifically setting the chassis 100, to facilitate researchers to control the operating variables of the fan assembly 200 and conduct experiments on various factors affecting the operation of the fan, in this embodiment, the fan room 120 is arranged to penetrate through two opposite side walls of the chassis 100, so that a through space is formed in the middle of the chassis 100. Researchers can easily operate manually to adjust the state of the fan in advance before the experiment or apply an acting object to affect the operating state of the fan assembly 200. At the same time, as Figure 2 shown. To prevent the fan assembly 200 in the fan room 120 from being affected by the external environment during operation, in this embodiment, a fan room baffle 101 is detachably provided on the chassis 100. The fan room baffle 101 covers the through ends of the fan room 120, so that the fan room 120 can be closed during the experiment, which is convenient for operation when adjusting the state of the fan assembly 200.

[0061] In another feasible embodiment of the present invention, as Figure 1 and Figure 4 shown, a first air guide opening 121 is provided at the bottom of the fan chamber 120. A space is preset below the first air guide opening 121, and this space is communicated with the above-mentioned first component chamber 111. Correspondingly, a duct top plate 113 connected to the side wall of the chassis 100 is provided inside the first component chamber 111. The height at which the duct top plate 113 is provided is on the same horizontal plane as the plate member at the bottom of the fan chamber 120. Below the duct top plate 113, a number of duct rib plates 114 connected to the duct top plate 113 and the bottom plate of the chassis 100 are further provided, which are used to support the duct top plate 113 to prevent it from deforming due to the pressure of the devices in the right component chamber 110. At the same time, the number of duct rib plates 114 divide the bottom of the chassis 100 into a number of ventilation structures, jointly forming a duct. To prevent the duct rib plates 114 from obstructing the air flow, in this embodiment, diversion holes 115 can also be provided on the duct rib plates 114. The diversion holes 115 are provided in a hollowed-out manner, which can form a connection to the space between the duct rib plates 114.

[0062] In this embodiment, the duct top plate 113 is also used to install the temperature sensor 330 in the above-mentioned data acquisition component 300, the heating mechanism 410 in the analog component 400, and the PLC module 520 in the processing component 500, etc.

[0063] Furthermore, as Figure 1 and Figure 3 shown, a filter net 130 is also provided inside the first component chamber 111 at a position corresponding to the duct rib plates 114. When the fan component 200 starts to work, the fan component 200 generates a suction negative pressure on the duct during operation. Air enters the duct from the first ventilation hole 111a of the first component chamber 111 through the first component chamber 111, and enters the fan chamber 120 after being filtered by the filter net 130. During this process, the filter net 130 plays the role of filtering dust and foreign objects to prevent dust and foreign objects from affecting the test results.

[0064] On the side wall of the second component chamber 112 corresponding to the fan chamber 120, a number of second air guide openings are provided, and a dust-proof net 140 is fitted inside the second air guide openings. When the fan component 200 starts to work, the air sucked into the fan chamber 120 enters the second component chamber 112 through the dust-proof net 140 of the second air guide openings, and then is discharged through the second ventilation holes corresponding to the second component chamber 112. During this process, the dust-proof net 140 further realizes the dust-proof function to prevent dust and the like from entering the second component chamber 112 and causing problems such as short-circuiting of the processing component 500 and affecting the sensitivity of the sensor.

[0065] In another feasible embodiment of the present invention, as Figure 5As shown, the fan assembly 200 specifically includes an outer rotor centrifugal fan 210 and a frame 220, wherein the frame 220 is fixedly connected to the bottom plate of the fan chamber 120 by bolts, and the outer rotor centrifugal fan is fixedly connected to the frame 220. During assembly, it should be ensured that the outer rotor centrifugal fan is in contact with the first air guide port 121 (such as Figure 1 As shown in the figure, the position of the air flow in the air duct can be driven with the highest efficiency when negative pressure is formed.

[0066] During installation, if Figure 1 and Figure 9 As shown, the vibration sensor 310 and the sound sensor 320 are fixedly arranged on the outer rotor centrifugal fan. For the operation process of the outer rotor centrifugal fan, its dynamic balance level significantly affects the noise and life of the fan. When the dynamic balance is poor, the fan is at risk of causing resonance. The vibration sensor 310 can monitor the shaft rotation changes of the outer rotor centrifugal fan, so as to verify the dynamic balance state of the fan under different external conditions, so as to assist in studying the causes of the resonance and provide data for fault diagnosis. When the outer rotor centrifugal fan has problems in operation, the edges of its blades are prone to float up and down, and the fan shaft produces shaft noise. Such sounds are collected by the sound sensor 320, and combined with the corresponding data obtained by the vibration sensor 310, it is convenient to form a fault model for fan faults, so as to facilitate the study of the impact of the external environment and the corresponding state of the fan.

[0067] In another embodiment of the present invention, Figure 3 and Figure 8 As shown, two heating mechanisms 410 are provided, and the two heating mechanisms 410 are respectively fixedly arranged in the first element chamber 111 and the second element chamber 112, so as to simulate the heating conditions of the working systems at both ends of the traction fan. Correspondingly, two temperature sensors 330 are also provided, and the two temperature sensors 330 are respectively fixedly arranged in the first element chamber 111 and the second element chamber 112, so as to monitor the air temperature of the first element chamber 111 and the second element chamber 112, and obtain relevant data on the actual operating effect of the fan assembly.

[0068] Furthermore, the processing component 500 is specifically composed of the PLC module 520 and the edge calculator 510, wherein Figure 1 and Figure 6As shown, the PLC module 520 is arranged in the first element chamber 111. On the opposite side walls of the first element chamber 111 and the second element chamber 112, a clearance hole can be opened to facilitate connecting the PLC module 520 with the edge calculator 510 through wires. The working process of the PLC module 520 is generally divided into three stages, namely input sampling, user program execution and output refresh. Completing the above three stages is called a scan cycle. During the entire operation, the CPU of the programmable logic controller repeatedly executes the above three stages at a certain scan speed.

[0069] like Figure 1 As shown, the edge calculator 510 is arranged in the second element room 112, and the edge calculator 510 is circuit-connected to the PLC module 520. Edge computing refers to the use of an open platform integrating network, computing, storage, and application core capabilities to provide the nearest service on the side close to the object or data source. Its application is initiated on the edge side, resulting in a faster network service response, meeting the basic needs of the industry in terms of real-time business, application intelligence, security and privacy protection. The edge calculator 510 is pre-installed with a multi-source signal fusion algorithm and a deep learning network. The data obtained by the sensor is transmitted to the embedded data processing algorithm for signal fusion, and the processed data is input into the deep learning network model for training. The weights generated by the training can be used for prediction in the next step, so as to form a data correspondence relationship between various causes of traction fan failure.

[0070] Through the cooperation between the edge calculator 510 and the PLC module 520, researchers can obtain test results and various parameters at the fastest speed, avoiding the process of data migration and reprocessing in traditional technologies, and effectively improving the efficiency of traction fan fault diagnosis research.

[0071] In this embodiment, the data acquisition component 300 further includes a data collector 340, which is integrated with a data terminal using RFID technology and is a terminal computer device with a battery that can be operated offline. It has the functions of real-time acquisition, automatic storage, instant display, instant feedback, automatic processing, and automatic transmission. The data collector 340 is integrated with a current sensor, which can be used to monitor the current supply changes during the operation of the fan assembly, so as to correspond to the actual working state of the fan assembly. The vibration sensor 310, the sound sensor 320, and the temperature sensor 330 are connected to the data collector 340 circuit, and the data is summarized through the data collector 340 for the edge calculator 510 and the PLC module 520 to call.

[0072] In another embodiment of the present invention, Figure 1As shown, in order to facilitate researchers to quickly operate and intuitively obtain test data, a touch display 600 is also embedded on the side wall of the above-mentioned chassis 100 corresponding to the second element chamber 112. The touch display 600 is circuit-connected to the edge calculator 510. In actual use, the edge calculator 510 outputs information such as test data and results of traction fan fault diagnosis to the touch display 600. Researchers can directly obtain the test results and verify them through the synchronously output sensor data. Through the touch display 600, instructions can also be issued to the edge calculator 510 to control the working modes of the fan component 200 and the simulation component 400, so that rapid adjustments can be made to form the effect of controlling variable tests, effectively improving test efficiency.

[0073] In another embodiment of the present invention, Figure 1 As shown, the two opposite ends of the chassis 100 corresponding to the first component chamber 111 and the second component chamber 112 are open. At the same time, the chassis 100 also includes two chassis side panels 102, which are detachably connected to the open parts at the opposite ends of the chassis 100, so as to achieve the effect of rapid installation and disassembly. In actual use, it is convenient for researchers to replace or repair the functional components in the first component chamber 111 and the second component chamber 112.

[0074] In this embodiment, handles may be provided on the outer sides of the two chassis side panels 102 and the two fan chamber baffles 101 to facilitate researchers to disassemble or move the entire multi-source signal fusion traction fan fault diagnosis test bench.

[0075] Based on the above embodiments, the actual use process of the traction fan fault diagnosis test bench based on multi-source signal fusion of the present invention is as follows:

[0076] Sticking tape on the fan blades of the outer rotor centrifugal fan 210 to apply load to simulate dust accumulation / or using tape to cover part of the first ventilation holes 111a to simulate blockage;

[0077] Specifically, the test type is determined first. Common traction fan failures in engineering are blade uniform load, single blade eccentric load, and air inlet blockage. The dust accumulation on a single blade is usually less than 10g. Accordingly, the test types are determined as blade uniform load, single blade load, and air inlet blockage. The proposed weight of blade uniform load is six groups of 0g / 2g / 4g / 6g / 8g / 10g, the proposed weight of single blade eccentric load is four groups of 0g / 3g / 6g / 10g, and the proposed degree of air inlet blockage is five groups of 0 / 20% / 40% / 60% / 80%.

[0078] Then prepare the load. To apply the load on the blades reliably and effectively, the test uses tape to simulate ash accumulation, and specifically, the tape needs to be weighed. In the uniform load test of the blades, tape needs to be pasted on each blade to apply the load, and in the single-blade eccentric load test, tape is only pasted on one blade to apply the load.

[0079] For the blockage test of the first ventilation hole 111a, it is only necessary to use tape to block a certain proportion of the air inlet holes.

[0080] Then, set parameters such as the target temperature of the heating mechanism 410 and the rotation speed of the fan assembly 200 in the first component chamber 111 and the second component chamber 112 in the software panel of the touch display screen;

[0081] Click start in the software panel, the heating mechanism 410 and the temperature sensor 330 start to work. After the temperature in the component chamber 110 reaches the target temperature, the fan assembly 200 starts to dissipate heat;

[0082] Specifically, if the target temperature is set to 60 °C and the rotation speed of the fan assembly 200 is set to 3000 rpm, the heating mechanism 410 will stop working when the temperature in the chamber is heated to 60 °C to avoid potential safety hazards or damage to the devices due to excessive temperature in the chamber.

[0083] Then the fan assembly 200 starts to run at a constant speed of 3000 rpm. After the temperature drops below the target temperature, the heating mechanism 410 will start working again. Eventually, the temperatures in the first component chamber 111 and the second component chamber 112 will reach a dynamic equilibrium temperature lower than the target temperature, and the dynamic equilibrium temperature is determined by the set rotation speed of the fan assembly 200.

[0084] The real-time temperatures in the first component chamber 111 and the second component chamber 112 can be seen on the touch display 600 to observe whether the heat dissipation effect meets the requirements, so as to adjust the parameters to be close to the actual working state of the fan assembly 200.

[0085] Click to collect data on the touch display 600, and the data collector 340 controls the current, vibration, and sound sensors 320 to collect data;

[0086] Specifically, the edge computing device sends a collection instruction to the data collector 340, and the data collector 340 synchronously collects three signal data of vibration, current, and sound during the operation of the fan assembly 200 through the vibration, current, and sound sensors 320. The collected data is stored in the training area or prediction area in the edge computing device, and the user can perform operations such as renaming, exporting, and deleting it.

[0087] If there are multiple groups of tests, the above steps need to be repeated until all the required data is collected.

[0088] Afterwards, click on training in the touch display 600, the stored data is processed by the signal fusion algorithm, and then input into the deep learning model as a training set for training to generate training weights;

[0089] Specifically, the data stored in the training area of the edge computing device is transmitted to the embedded data processing algorithm for signal fusion, and the processed data is input into the deep learning network model for training. The weights generated by the training can be used for prediction in the next step, and users can rename, export, delete, and perform other operations on the weights.

[0090] Finally, click Prediction in the software panel, repeat the above data acquisition and training steps, process the newly collected data through the signal fusion algorithm, input it into the prediction algorithm, call the training weights generated by the training step to obtain the prediction results, and display them on the touch display 600.

[0091] Specifically, the data stored in the prediction area of the edge computing device is transmitted to the embedded data processing algorithm for signal fusion, and the processed data is input into the prediction algorithm of the corresponding model. The prediction algorithm will call the specified weights to predict the fault status of the fan. Users can export, delete, and perform other operations on the results.

[0092] In summary, the present invention provides a traction fan fault diagnosis test bench based on multi-source signal fusion, and the traction fan fault diagnosis test bench based on multi-source signal fusion includes: a chassis, a component room and a fan room are isolated and arranged inside the chassis, and the fan room is connected to the component room; a fan assembly, the fan assembly is embedded in the fan room; a data acquisition assembly, the data acquisition assembly includes a vibration sensor, a sound sensor, a temperature sensor and a current sensor arranged in the component room arranged on the fan assembly; an analog assembly, the analog assembly includes a heating mechanism arranged in the component room; a processing assembly, the processing assembly includes a PLC module, the processing assembly is arranged in the component room, and is circuit-connected to the fan assembly, the data acquisition assembly and the analog assembly. The present invention simulates the actual structure and heat dissipation effect of the traction system chassis by setting partitions inside the chassis, and can collect traction fan operation data that is closer to the actual working environment. At the same time, a variety of different types of sensors are set to collect multi-source data. The collected data is formed into multi-source fusion through processing equipment, and cooperates with software such as deep learning networks to learn various signal fault characteristics such as sound, current, and vibration, thereby forming an autonomous diagnosis effect. Compared with the existing technology, the comprehensiveness of signal collection in the process of traction fan fault research can be improved, and the automation of signal transmission, processing and analysis can be improved, thereby assisting researchers to improve the efficiency and accuracy of traction fan fault diagnosis research.

[0093] It should be understood that the application of the present invention is not limited to the above examples. For those of ordinary skill in the art, improvements or transformations can be made according to the above description, and all such improvements and transformations shall fall within the protection scope of the appended claims of the present invention.

Claims

1. A traction fan fault diagnosis test bench based on multi-source signal fusion, characterized in that, The traction fan fault diagnosis test bench based on multi-source signal fusion includes: A chassis, inside which an electronic component chamber and a fan chamber are isolatedly arranged, and the fan chamber is communicated with the electronic component chamber; A fan assembly, which is fitted in the fan chamber; A data acquisition assembly, which includes a vibration sensor and a sound sensor arranged on the fan assembly, a temperature sensor and a current sensor arranged in the electronic component chamber; An analog assembly, which includes a heating mechanism arranged in the electronic component chamber; A processing assembly, which contains a PLC module, is arranged in the electronic component chamber, and is electrically connected to the fan assembly, the data acquisition assembly and the analog assembly; The electronic component chamber includes a first component chamber and a second component chamber arranged on both sides of the fan chamber and communicated with the fan chamber; The fan chamber penetrates through two opposite side walls of the chassis; The fan assembly includes: an external rotor centrifugal fan, and the vibration sensor and the sound sensor are fixedly arranged on the external rotor centrifugal fan; Load is applied by pasting tape on the fan blades of the external rotor centrifugal fan to simulate dust accumulation / or some ventilation holes are blocked to simulate blockage.

2. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 1, characterized in that A number of first ventilation holes are arranged on the side wall of the chassis corresponding to the first component chamber; A number of second ventilation holes are arranged on the side wall of the chassis corresponding to the second component chamber; 3. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 2, characterized in that, A fan chamber baffle is detachably arranged on the chassis, and the fan chamber baffle covers both ends of the penetration of the fan chamber; 4. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 2, characterized in that, A first air guide port is arranged at the bottom of the fan chamber, and the space corresponding to the first air guide port is communicated with the first component chamber; An air duct top plate connected to the side wall of the chassis is arranged in the first component chamber; Below the air duct top plate, a number of air duct rib plates connected to the air duct top plate and the chassis bottom plate are arranged, and a number of the air duct rib plates are provided with through-hole arranged diversion holes; 5. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 4, characterized in that, A filter screen is arranged in the first component chamber corresponding to the position of the air duct rib plates; A number of second air guide ports are arranged on the side wall of the second component chamber corresponding to the fan chamber, and dust-proof nets are fitted in the second air guide ports; 6. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 4, characterized in that, The fan assembly further includes: a frame, which is bolted to the bottom plate of the fan chamber, the external rotor centrifugal fan is fixedly connected to the frame, and the external rotor centrifugal fan corresponds to the position of the first air guide port; 7. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 2, wherein, There are two heating mechanisms, and the two heating mechanisms are respectively fixedly arranged in the first component chamber and the second component chamber; There are two temperature sensors, and the two temperature sensors are respectively fixedly arranged in the first component chamber and the second component chamber; 8. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 2, wherein, The processing assembly includes: The PLC module, which is arranged in the first component chamber; An edge calculator, which is arranged in the second component chamber, and the edge calculator is electrically connected to the PLC module; The data acquisition component also includes a data collector, in which the current sensor is integrated, the vibration sensor, the sound sensor and the temperature sensor are connected to the data collector via a circuit, and the data collector is connected to the edge calculator via a circuit.

9. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 8, characterized in that, A touch display is also embedded on the side wall of the chassis corresponding to the second element chamber. The touch display is connected to the edge calculator through a circuit, and the touch display is used to feed back data information.

10. The traction fan fault diagnosis test bench based on multi-source signal fusion according to claim 2, characterized in that, The two opposite ends of the chassis corresponding to the first component chamber and the second component chamber are open, and the chassis includes two chassis side panels, which are detachably connected to the open parts at the opposite ends of the chassis.

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