Bearing fault detection device based on AEC

Abstract

The invention discloses an AEC-based bearing fault detection device, relates to bearing detection, and aims to solve the problems that an existing common bearing fault detection device is difficult to measure tiny faults in a bearing and possibly causes secondary damage to the bearing in the detection process. The shaft system control module is used for driving the bearing to rotate and applying transverse loading force to the rotating bearing; the AE and vibration detection module is used for simultaneously acquiring a bearing AE signal and a vibration signal after the transverse load is applied and sending the signals to the data acquisition and processing module; and the data acquisition and processing module is used for analyzing a bearing fault according to the AE signal and the vibration signal. The method is used for detecting bearing faults.

Description

Technical Field

[0001] The invention belongs to the detection field and relates to bearing detection. Background Art

[0002] Bearings are common components in mechanical systems. During operation, bearings often fail due to fatigue, wear and other problems. If bearings can be detected and maintained in a timely manner, the remaining service life of the bearings can be maximized, which may reduce a large amount of expenses for repairing and replacing bearings. Therefore, bearing fault detection devices are essential.

[0003] Currently, common bearing fault detection devices mainly rely on vibration detection methods, which detect and analyze bearing vibration signals to identify whether the bearing has a fault. This method is difficult to measure minor faults in the bearing and may cause secondary damage to the bearing during the detection process, destroying the original health information of the bearing and causing greater economic losses. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the common bearing fault detection devices currently have difficulty in measuring minor faults in bearings and may cause secondary damage to the bearings during the detection process, and proposes a bearing fault detection device based on AEC.

[0005] A bearing fault detection device based on AEC, the device comprising a shaft system control module, an AE and vibration detection module and a data acquisition and processing module;

[0006] A shaft control module, used to drive the bearing to rotate and apply a lateral load force to the rotating bearing;

[0007] AE and vibration detection module, used to simultaneously collect the bearing AE signal and vibration signal after the lateral load is applied, and send them to the data acquisition and processing module;

[0008] The data acquisition and processing module is used to analyze bearing faults based on AE signals and vibration signals.

[0009] Preferably, the shaft system control module includes a motor control mechanism, an electric control shaft system and a hydraulic loading mechanism;

[0010] The motor control mechanism is used to control the rotation of the bearing and the rotation angle of the electric-controlled shaft system so that the electric-controlled shaft system fits the inner ring of the bearing;

[0011] The hydraulic loading mechanism is used to apply a lateral load force to the inner ring of the bearing through an electronically controlled shaft system.

[0012] Preferably, the hydraulic loading mechanism comprises an oil pipe, two oil filters, a pressure control valve, a booster motor, a hydraulic pump, hydraulic oil and a hydraulic cylinder;

[0013] The hydraulic oil is input into the hydraulic cylinder through the oil pipe, and an oil filter is set in the oil pipe and in the pipeline connecting the hydraulic cylinder to the electronically controlled shaft system;

[0014] The boost motor is connected to the hydraulic oil through a boost pipeline, and a pressure control valve is provided on the boost pipeline.

[0015] Preferably, the AE and vibration detection module includes an AE sensor, an accelerometer, a vibration sensor and a tachometer;

[0016] An accelerometer, which measures the acceleration of the bearing and transmits it to the vibration sensor;

[0017] Tachometer, used to synchronously trigger the AE sensor and vibration sensor;

[0018] AE sensor, used to collect AE signals of the bearing after being triggered by the tachometer;

[0019] The vibration sensor is used to convert the received acceleration into a vibration signal after being triggered by the tachometer.

[0020] Preferably, the vibration signal is represented by:

[0021] V R =K R ·a out ,

[0022] Where V R is the vibration value of the vibration signal, K R is the vibration sensor conversion sensitivity, a out is the acceleration value.

[0023] Preferably, the device further comprises a bearing box module;

[0024] The bearing box module includes a bearing box, an AE sensor slot, a fan and an accelerometer slot;

[0025] The bearing is arranged in the bearing box, and the electric control shaft system penetrates into the bearing box to drive the bearing to rotate and apply lateral load force;

[0026] The bearing box is provided with an AE sensor slot, a fan and an accelerometer slot;

[0027] The AE sensor slot is used to place the AE sensor; the accelerometer slot is used to place the accelerometer.

[0028] Preferably, the bearing housing module comprises a guide plate;

[0029] The guide plate is arranged in the bearing box.

[0030] Preferably, the data acquisition processing module includes a preamplifier, a function generator, a signal modulation board, a low-pass filter and a data acquisition card;

[0031] A preamplifier is used to receive the AE signal output by the AE sensor and send it to the signal modulation board;

[0032] Function generator, used to preset reference signal and send it to signal modulation board;

[0033] A signal modulation board, used for adjusting the AE signal using a preset reference signal, generating an adjusted AE signal and transmitting it to a low-pass filter;

[0034] A low-pass filter is used to filter the adjusted AE signal, and the filtered AE signal is transmitted to the data acquisition card;

[0035] The data acquisition card is used to receive the filtered AE signal and the vibration signal of the bearing from the vibration sensor to analyze the bearing fault.

[0036] Preferably, the data acquisition and processing module further includes a No. 1 power supply and a No. 2 power supply;

[0037] Power supply No. 1, used to power both the preamplifier and the AE sensor;

[0038] Power supply No. 2 is used to power the function generator.

[0039] The beneficial effects of the present invention are:

[0040] The AE (Acoustic Emission) sensor of the present invention can receive signals with higher information density than vibration signals, and it also has a higher acquisition frequency (usually exceeding 1MHz) than vibration sensors. At the same time, AE detection technology will not cause damage to the bearing itself. Therefore, the present invention uses a combination of AE signals and vibration signals to detect bearing faults, which can be used for non-destructive detection of early bearing faults. These are all beyond the reach of traditional bearing vibration detection methods. In addition, the device can also collect AE signals and vibration signals through a synchronous triggering method, and use these two signals for comparative complementary detection, so that smaller faults can be detected. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a principle schematic diagram of a bearing fault detection device based on AEC;

[0042] Figure 2 It is a schematic diagram of the structure of the hydraulic loading mechanism;

[0043] Figure 3 It is a structural schematic diagram of the bearing box module. In the figure, Figure 3 (a) is the front view of the bearing box module. Figure 3 (b) is a side view of the bearing box module. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0046] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0047] Example:

[0048] Combination Figure 1 This embodiment is described as a bearing fault detection device based on AEC, the device comprises a shaft control module 1, an AE and vibration detection module 2 and a data acquisition and processing module 3;

[0049] The shaft control module 1 is used to drive the bearing 4 to rotate and apply a lateral load force to the rotating bearing 4;

[0050] AE and vibration detection module 2, used to simultaneously collect AE signals and vibration signals of bearing 4 after lateral load is applied, and send them to data acquisition and processing module 3;

[0051] The data acquisition and processing module 3 is used to detect bearing 4 faults based on AE signals and vibration signals.

[0052] The structure of the shaft control module 1 is further defined as follows:

[0053] The shaft system control module 1 includes a motor control mechanism 1-1, an electric control shaft system 1-2 and a hydraulic loading mechanism 1-3;

[0054] The motor control mechanism 1-1 is used to control the rotation of the bearing 4 and the rotation angle of the electric control shaft system 1-2 so that the electric control shaft system 1-2 fits the inner ring of the bearing 4;

[0055] The hydraulic loading mechanism 1-3 is used to apply a lateral load force to the inner ring of the bearing 4 through the electronically controlled shaft system 1-2.

[0056] Specifically, the motor control mechanism has its own motor which can drive the electric control shaft system and the bearing to be tested to rotate together, and it has a power control function to control the rotation speed of the bearing. Figure 2As shown, the electronically controlled shaft system can be used to apply a lateral load to the bearing box when necessary, so as to simulate the harsh working environment or amplify the bearing operation defect. The electronically controlled shaft system has a shaft stabilizing mechanical group and is equipped with an alloy ring block, which fits the inner ring of the bearing to be tested. When the hydraulic pressure is transmitted, the electronically controlled shaft system, as a carrier, will generate a lateral load force in the bearing to be tested.

[0057] Figure 1 In the present invention, the working power range of the motor control mechanism is 500 watts to 10,000 watts, and the speed range of a certain type of bearing with a diameter of φ80 mm is 200r / min to 4000r / min. The standard test power set in this patent is 2500 watts, and the standard test bearing speed is 1000r / min.

[0058] The composition of the hydraulic loading mechanism 1-3 is further defined as follows:

[0059] The hydraulic loading mechanism 1-3 includes an oil pipe 1-3-1, two oil filters 1-3-2, a pressure control valve 1-3-3, a booster motor 1-3-4, a hydraulic pump 1-3-5, hydraulic oil 1-3-6 and a hydraulic cylinder 1-3-7;

[0060] The hydraulic oil 1-3-6 is input into the hydraulic cylinder 1-3-7 through the oil pipe 1-3-1. An oil filter 1-3-2 is respectively arranged in the oil pipe 1-3-1 and in the pipeline connecting the hydraulic cylinder 1-3-7 to the electronically controlled shaft system 1-2.

[0061] The boost motor 1-3-4 is connected to the hydraulic oil 1-3-6 through a boost pipeline, and a pressure control valve 1-3-3 is provided on the boost pipeline.

[0062] Specifically, Figure 2 In the process, the hydraulic loading mechanism applies a lateral load to the bearing through the principle of a communicating vessel. This load is transmitted by the electronically controlled shaft system as a carrier and directly acts on the inner ring of the bearing, thereby generating a lateral load in the area between the inner ring and the outer ring of the bearing, including rolling elements, retainers, etc. The size of the hydraulic loading mechanism is 200mm×φ40mm, and it consists of a hydraulic pump, hydraulic oil, oil pipe, oil filter, pressure control valve, booster motor and hydraulic cylinder. The hydraulic oil is filtered by the oil filter and enters the hydraulic cylinder as a hydraulic carrier through the oil pipe. The hydraulic pump is driven by the booster motor to increase the hydraulic oil. The pressure control valve is controlled by a mechanical structure, which can prevent the pressure valve from moving in reverse when working and can be moved back to its original position when not working. After experimental testing, the maximum lateral load that can be applied to the bearing is 18kN.

[0063] The composition of AE and vibration detection module 2 is further limited:

[0064] The AE and vibration detection module 2 includes an AE sensor 2-1, an accelerometer 2-4, a vibration sensor 2-3 and a tachometer 2-2;

[0065] The accelerometer 2-4 is used to measure the acceleration of the bearing 4 and transmit it to the vibration sensor 2-3;

[0066] The tachometer 2-2 is used for synchronously triggering the AE sensor 2-1 and the vibration sensor 2-3;

[0067] AE sensor 2-1, used to collect AE signal of bearing 4 after being triggered by tachometer 2-2;

[0068] The vibration sensor 2-3 is used to convert the received acceleration into a vibration signal after being triggered by the tachometer 2-2.

[0069] Specifically, the AE sensor is installed horizontally and is responsible for capturing and transmitting AE input signals, providing key data for subsequent processing and analysis. The accelerometer, which serves as the vibration sensor probe, is installed radially and is specifically used to obtain vibration input signals. In addition, the tachometer provides a trigger signal and is responsible for synchronously controlling the AE sensor and the vibration sensor to ensure that both can be accurately triggered at the same time, thereby ensuring the synchronization and accuracy of the detection data. The AE detection module and the vibration detection module work together through a synchronous sensor layout and use the tachometer for precise control. Not only can separate AE detection tests be performed, but also comparative verification tests of AE detection and vibration detection can be performed simultaneously.

[0070] Further limiting the vibration value formula: The vibration signal is expressed as:

[0071] V R =K R ·a out ,

[0072] Where V R is the vibration value of the vibration signal, K R is the vibration sensor conversion sensitivity, a out is the acceleration value.

[0073] The structure of the device is further defined as follows: the device further comprises a bearing box module 4;

[0074] The bearing box module 4 includes a bearing box 4-1, an AE sensor slot 4-2, a fan 4-3 and an accelerometer slot 4-4;

[0075] The bearing 4 is arranged in the bearing box 4-1, and the electric control shaft system 1-2 penetrates into the bearing box 4-1, drives the bearing 4 to operate, and applies a lateral load force;

[0076] The bearing box 4-1 is provided with an AE sensor slot 4-2, a fan 4-3 and an accelerometer slot 4-4;

[0077] The AE sensor slot 4-2 is used to accommodate the AE sensor 2-1; the accelerometer slot 4-4 is used to accommodate the accelerometer 2-4.

[0078] Specifically, the bearing box is used as a carrier for placing the bearing. Figure 3 As shown in the figure, it plays the role of fixing the electronically controlled shaft system, providing conditions for signal collection and regulating the bearing temperature. The bearing box is a box-court-style hollow structure, which is almost completely closed. In order to work with the electronically controlled shaft system, a hole specially for the shaft system to pass through is opened on the near-shaft surface. The electronically controlled shaft system extends into the bearing box through this hole to drive the bearing to be tested to operate or apply a lateral load to it. Due to its almost fully enclosed design, the bearing box has a good overall sound insulation and vibration isolation effect. The sensor can be used to efficiently collect various sound wave signals (including AE and vibration, etc.) during the operation of the bearing, and at the same time, it can effectively avoid the problem of excessive noise caused by damage to the bearing operation. The bearing to be tested is installed on the electronically controlled shaft system in a sleeve-changing manner. The inner ring of the bearing and the end of the electronically controlled shaft system are fitted with an inner pad of soft metal material to achieve an interference fit, thereby minimizing the slippage between the inner ring of the bearing and the shaft system. When the shaft system rotates, the inner ring of the bearing will be driven to rotate at the same speed. The function of the sensor slot is to fix the AE sensor and the accelerometer as the probe of the vibration sensing system. The vibration sensor itself is not directly connected or in contact with the bearing box. The function of the ventilation area is to speed up the air circulation in the bearing box after the test of rapid bearing rotation is completed, so as to achieve the effect of rapid cooling of the shaft bearing to be tested and other components. The fan is driven by 2 No. 5 batteries and has a power switch for starting and stopping. It will not be started during the test to avoid affecting the measurement of test data.

[0079] Figure 3 The bearing box can be 220mm×380mm×100mm in size and made of aluminum alloy. The sound transmission and wave transmission characteristics are ideal for the patented device, and it has the characteristics of impact resistance and high strength. The size of the ventilation area is 180mm×200mm×50mm, the frame is a black painted aluminum alloy die-cast structure, and the fan is made of high temperature resistant material. It is separated from the bearing box device by an array of circular hole guide plates, so that the entire bearing box forms a guide cavity structure, allowing the gas to flow evenly and quickly along the guide channel through the bearing surface, constructing a stable convection environment, so that the bearing can be cooled quickly.

[0080] The structure of the bearing box module 4 is further defined as follows: the bearing box module 4 includes guide plates 4-5;

[0081] The guide plate 4-5 is arranged in the bearing box 4-1.

[0082] The data acquisition and processing module 3 is further limited to:

[0083] The data acquisition processing module 3 includes a preamplifier 3-1, a function generator 3-2, a signal modulation board 3-3, a low-pass filter 3-4 and a data acquisition card 3-5;

[0084] The preamplifier 3-1 is used to receive the AE signal output by the AE sensor 2-1 and send it to the signal modulation board;

[0085] Function generator 3-2, used for preset reference signal, sent to signal modulation board;

[0086] The signal modulation board 3-3 is used to adjust the AE signal using a preset reference signal, and generate an adjusted AE signal to transmit to the low-pass filter 3-2;

[0087] The low-pass filter 3-2 is used to filter the adjusted AE signal, and the filtered AE signal is transmitted to the data acquisition card 3-2;

[0088] The data acquisition card 3 - 2 is used to receive the filtered AE signal and the vibration signal of the bearing 4 from the vibration sensor 2 - 3 , and analyze the fault of the bearing 4 .

[0089] Specifically, vibration detection tests all rely on the motor to make the bearing run at high speed, so the vibration signal itself has a high signal-to-noise ratio, and no signal processing measures such as signal amplification, modulation and demodulation are required; AE detection tests can be performed when the bearing runs at a low speed. At this time, the AE signal itself has a low signal-to-noise ratio, and it is necessary to first use a preamplifier to amplify the signal, and then the amplified signal and the reference signal generated by the function generator are modulated in the signal modulation board, and then low-pass filtered and demodulated to improve the signal-to-noise ratio, thereby improving the accuracy of AE detection. The host computer used in this patent device is a certain brand and model laptop computer of Inter(R)Core(TM)i7-7700HQ@2.80GHz, and other host computers that can process and analyze electrical signal data can also be used.

[0090] The preamplifier used is the Physical Acoustics Corporation 2 / 4 / 6 preamplifier, which is powered by the Mastech HY3003D DC power supply together with the AE sensor. The supply voltage of the Mastech HY3003D DC power supply is set to 16V. The function of the Physical Acoustics Corporation 2 / 4 / 6 preamplifier is to amplify the AE voltage output signal before transmitting it to the AD8339 modulation board produced by ADI. By amplifying the output voltage, the useful signal is amplified, thereby improving the signal-to-noise ratio. Through experiments, the excitation gain of the Physical Acoustics Corporation2 / 4 / 6 in this device is 40dB to achieve the best data acquisition effect. While collecting the AE voltage output signal, the sensor produced by the IMI department of PCB Piezotronics was also used to collect the signal of the radially mounted ICP 608A11 industrial accelerometer.

[0091] Figure 1 In the signal modulation board, the AD8339 modulation board is used, which is responsible for receiving the AE sensor signal and the signal output by the function generator. The AE sensor signal is the original signal, and the signal output by the function generator is the reference signal. These two signals are processed by inner product multiplication in the AD8339 modulation board to form the AE modulation signal. After filtering out the high-frequency component through low-pass filtering, the output signal of the modulation board is transmitted to the NI-DAQ 6211 data acquisition card. All AE signals are sampled at a frequency of 100kHz, so that the useful signal information is offset to below 50kHz, and then the signal is demodulated. In this way, the useful signal can be controlled at a lower frequency and prevented from being lost too much during low-pass filtering, thereby improving the filtering retention rate of the useful signal and effectively extracting the information required for bearing fault diagnosis. After debugging and testing experiments, the demodulation reference frequency of the AE modulation signal is set to 400kHz.

[0092] The composition of the data acquisition processing module 3 is further limited: the data acquisition processing module 3 also includes a No. 1 power supply 3-6 and a No. 2 power supply 3-7;

[0093] A first power supply 3-6, used for simultaneously supplying power to the preamplifier 3-1 and the AE sensor 2-1;

[0094] The second power supply 3-7 is used to supply power to the function generator 3-2.

[0095] Working principle:

[0096] 1. Turn on the motor in the motor control mechanism, turn on power supply No. 1 and power supply No. 2, and turn on the host computer.

[0097] 2. When conducting AE detection test: use the motor control mechanism to control the electronically controlled shaft system to operate at low speed; use the hydraulic loading mechanism to apply lateral load to the bearing; at this time, the bearing is running in the bearing box, and the AE sensor is used to measure the AE signal. After passing through the preamplifier circuit, it is sent to the signal modulation board together with the reference signal generated by the function generator for signal modulation, and then filtered through a low-pass filter. The data acquisition card collects the signal and transmits it to the host computer for final demodulation, sorting, analysis and storage.

[0098] 3. When conducting AE detection and vibration detection comparison tests: use the motor control mechanism to control the electronically controlled shaft system to run at high speed. Other operations are the same as step 2. At the same time, use the accelerometer to measure the acceleration value of the bearing box, and then convert it into a vibration signal through a vibration sensor. Also rely on the data acquisition card to collect data to the host computer for analysis and comparison with the AE signal.

[0099] 4. The magnitude of the vibration signal is positively correlated with the magnitude of the acceleration value measured by the accelerometer, as shown in the following formula:

[0100] V R =K R ·a out

[0101] Among them, K R ——Vibration sensor conversion sensitivity (V·s / m 2 );a out ——Output acceleration value (m 2 / s)

[0102] 5. After the test is completed, turn on the fan to speed up the air circulation in the bearing box to facilitate and quickly carry out the next test.

[0103] 6. Turn off the fan and prepare for the next round of testing.

[0104] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. A bearing fault detection device based on AEC, characterized in that: The device comprises a shaft system control module (1), an AE and vibration detection module (2) and a data acquisition and processing module (3); A shaft control module (1) is used to drive the bearing (4) to rotate and apply a lateral load force to the rotating bearing (4); An AE and vibration detection module (2) is used to simultaneously collect AE signals and vibration signals of the bearing (4) after a lateral load is applied, and send them to a data acquisition and processing module (3); The data acquisition and processing module (3) is used to analyze the bearing (4) fault according to the AE signal and the vibration signal.

2. A bearing (4) fault detection device based on AEC according to claim 1, characterized in that: The shaft system control module (1) comprises a motor control mechanism (1-1), an electric control shaft system (1-2) and a hydraulic loading mechanism (1-3); The motor control mechanism (1-1) is used to control the rotation of the bearing (4) and the rotation angle of the electric-controlled shaft system (1-2) so that the electric-controlled shaft system (1-2) fits closely to the inner ring of the bearing (4); The hydraulic loading mechanism (1-3) is used to apply a lateral load force to the inner ring of the bearing (4) through an electrically controlled shaft system (1-2).

3. The bearing fault detection device based on AEC according to claim 2, characterized in that: The hydraulic loading mechanism (1-3) includes an oil pipe (1-3-1), two oil filters (1-3-2), a pressure control valve (1-3-3), a booster motor (1-3-4), a hydraulic pump (1-3-5), hydraulic oil (1-3-6) and a hydraulic cylinder (1-3-7); The hydraulic oil (1-3-6) is input into the hydraulic cylinder (1-3-7) through the oil pipe (1-3-1), and an oil filter (1-3-2) is respectively arranged in the oil pipe (1-3-1) and in the pipeline connecting the hydraulic cylinder (1-3-7) to the electric control shaft system (1-2); The boost motor (1-3-4) is connected to the hydraulic oil (1-3-6) via a boost pipeline, and a pressure control valve (1-3-3) is provided on the boost pipeline.

4. The AEC-based bearing fault detection device according to claim 3, characterized in that: The AE and vibration detection module (2) includes an AE sensor (2-1), an accelerometer (2-4), a vibration sensor (2-3) and a tachometer (2-2); An accelerometer (2-4) for measuring the acceleration of the bearing (4) and transmitting the acceleration to the vibration sensor (2-3); A tachometer (2-2) for synchronously triggering the AE sensor (2-1) and the vibration sensor (2-3); An AE sensor (2-1) is used to collect an AE signal of a bearing (4) after being triggered by a tachometer (2-2); The vibration sensor (2-3) is used to convert the received acceleration into a vibration signal after being triggered by the tachometer (2-2).

5. The bearing fault detection device based on AEC according to claim 4 is characterized in that: The vibration signal is expressed as: In R =K R ·and out , Where V R is the vibration value of the vibration signal, K R is the vibration sensor conversion sensitivity, a out is the acceleration value.

6. The bearing fault detection device based on AEC according to claim 5, characterized in that: The device also includes a bearing box module (4); The bearing box module (4) comprises a bearing box (4-1), an AE sensor slot (4-2), a fan (4-3) and an accelerometer slot (4-4); The bearing (4) is arranged in a bearing box (4-1), and the electric control shaft system (1-2) penetrates into the bearing (4) box (4-1), drives the bearing (4) to rotate, and applies a lateral load force; An AE sensor slot (4-2), a fan (4-3) and an accelerometer slot (4-4) are arranged in the bearing box (4-1); The AE sensor slot (4-2) is used to place the AE sensor (2-1); the accelerometer slot (4-4) is used to place the accelerometer (2-4).

7. The AEC-based bearing fault detection device according to claim 6, characterized in that: The bearing box module (4) comprises a guide plate (4-5); The guide plate (4-5) is arranged in the bearing box (4-1).

8. The bearing fault detection device based on AEC according to claim 1, characterized in that: The data acquisition processing module (3) includes a preamplifier (3-1), a function generator (3-2), a signal modulation board (3-3), a low-pass filter (3-4) and a data acquisition card (3-5); A preamplifier (3-1) is used to receive the AE signal output by the AE sensor (2-1) and send it to the signal modulation board; Function generator (3-2), used for preset reference signal, sent to signal modulation board; A signal modulation board (3-3) is used to adjust the AE signal using a preset reference signal to generate an adjusted AE signal and transmit it to the low-pass filter (3-2); A low-pass filter (3-2) is used to filter the adjusted AE signal, and the filtered AE signal is transmitted to the data acquisition card (3-2); The data acquisition card (3-2) is used to receive the filtered AE signal and the vibration signal of the bearing (4) from the vibration sensor (2-3), and analyze the fault of the bearing (4).

9. The AEC-based bearing fault detection device according to claim 8, characterized in that: The data acquisition processing module (3) also includes a No. 1 power supply (3-6) and a No. 2 power supply (3-7); A power supply No. 1 (3-6), used for simultaneously supplying power to the preamplifier (3-1) and the AE sensor (2-1); The second power supply (3-7) is used to supply power to the function generator (3-2).

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