Engine crankshaft bearing risk monitoring method, device and system
By setting a displacement sensor and an electronic control unit on the engine flywheel, the engine speed and displacement are monitored and the maximum eccentricity is calculated, which solves the prediction problem of viscous shafting tiles and improves the operation safety of the engine.
Patent Information
- Application Number
- CN202210358955.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-04-07
- Publication Date
- 2024-12-17
- Estimated Expiration
- 2042-04-07
AI Technical Summary
One of the most serious reliability accidents in the engine is the sticky shaft tiles, which leads to the clamp shaft bonding to the bearing shell and cannot operate normally. It is difficult for the prior art to effectively monitor and predict the risk of shim removal caused by crankshaft bending vibration.
Two displacement sensors are set on the flywheel of the engine. The electronic control unit is used to determine whether the engine is in a resonant amplified state based on the current rotation speed. By obtaining the displacement amount and vibration curve of the sensor, the maximum eccentricity of the axis of the last spindle is calculated. If it exceeds the The threshold value outputs a crankshaft early warning signal.
The monitoring of the engine crankshaft clearance is realized, and the risk of tile removal caused by crankshaft bending vibration is predicted in advance, which improves the safety and reliability of engine operation and avoids engine failures caused by tile removal.
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Figure CN114813150B_ABST
Abstract
Description
Technical Field
[0001] The disclosed embodiments relate to the field of engine technology, and more particularly to a method, device and system for monitoring the risk of engine crankshaft bearing failure. Background Art
[0002] The most serious reliability accident in the engine is bearing sticking, which refers to the phenomenon that the engine crankshaft and bearing are stuck together, causing the engine to fail to operate normally.
[0003] Excessive crankshaft bending vibration is one of the important reasons for shaft sticking and bearing wear. Therefore, there is an urgent need to monitor the gap between the crankshaft and the bearing to predict the risk of bearing wear caused by crankshaft bending vibration in advance. Summary of the invention
[0004] The disclosed embodiments provide a method, device and system for monitoring the risk of engine crankshaft bearings, so as to monitor the clearance between the crankshaft and the bearings and predict the risk of bearings caused by crankshaft bending vibration in advance.
[0005] In a first aspect, an embodiment of the present disclosure provides a method for monitoring the risk of engine crankshaft bearings, comprising:
[0006] The flywheel of the engine is provided with two displacement sensors, the two displacement sensors are located in the same cross section of the flywheel, and the radii from the two displacement sensors to the axis of the flywheel are at right angles to each other. The method is applied to an electronic control unit, comprising:
[0007] In the current cycle period, obtaining the current speed of the engine, and determining whether the engine is in a resonance amplification state according to the current speed;
[0008] If the engine is in a resonance amplification state, the current resonance mode is determined according to the current rotation speed;
[0009] Obtain the displacement of the two sensors on the flywheel at the current engine speed, and the vibration mode Curve corresponding to the resonance mode of the current engine; wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis;
[0010] Determine the coordinate trajectory of the axis of the final gear main shaft according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine;
[0011] Calculating the maximum eccentricity of the final gear main shaft center of the engine according to the coordinate trajectory of the final gear main shaft center;
[0012] If the maximum eccentricity of the main shaft axis of the final gear exceeds a preset threshold, an engine crankshaft bearing warning signal is output.
[0013] In a possible design, the two displacement sensors include a first displacement sensor and a second displacement sensor, wherein the first displacement sensor measures a first displacement amount and the second displacement sensor measures a second displacement amount; accordingly, determining the coordinate trajectory of the axis center of the final gear main shaft according to the displacement amounts of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine comprises: determining the amplitude ratio of the axis center of the final gear main shaft to the axis center of the flywheel corresponding to the current speed in the vibration mode Curve according to the current speed; multiplying the first displacement amount and the second displacement amount by the amplitude ratio of the axis center of the final gear main shaft to the axis center of the flywheel corresponding to the current speed, respectively, to obtain the eccentricity of the axis center of the final gear main shaft in the first direction and the eccentricity of the axis center of the final gear main shaft in the second direction; determining the eccentricity of the first direction and the eccentricity of the second direction of a preset number of collection points as the coordinate trajectory of the axis center of the final gear main shaft.
[0014] In a possible design, after obtaining the current speed of the engine and determining whether the engine is in a resonant amplification state based on the current speed, it also includes: if the engine is in a non-resonant amplification state, determining the coordinate trajectory of the flywheel axis according to the displacement of the two sensors on the flywheel at the current speed; calculating the maximum eccentricity of the flywheel axis of the engine according to the coordinate trajectory of the flywheel axis; querying whether there is a non-zero value in the pre-stored maximum eccentricity MAP of the flywheel axis according to the maximum eccentricity of the flywheel axis; if there is a non-zero value, making a positive deviation percentage between the maximum eccentricity of the flywheel axis and the non-zero value, and if the positive deviation percentage exceeds a preset limit, outputting an engine crankshaft bearing warning signal.
[0015] In a possible design, after querying whether there is a non-zero value in the pre-stored maximum eccentricity MAP of the flywheel shaft based on the maximum eccentricity of the flywheel shaft, the method includes: if there is no non-zero value, storing the maximum eccentricity of the flywheel shaft in the pre-stored maximum eccentricity MAP of the flywheel shaft, and jumping to the current cycle after a ring cycle, obtaining the current speed of the engine, and determining whether the engine is in a resonant amplification state according to the current speed.
[0016] In a possible design, the resonant mode includes a first-order bending vibration resonance mode and a second-order bending vibration resonance mode.
[0017] In a second aspect, an embodiment of the present disclosure provides an engine crankshaft bearing risk monitoring device, comprising:
[0018] A first judgment module is used to obtain the current speed of the engine in the current cycle period, and determine whether the engine is in a resonance amplification state according to the current speed;
[0019] A second judgment module is used to judge the current resonance mode according to the current speed if the engine is in a resonance amplification state;
[0020] A vibration mode processing module is used to obtain the displacement of two sensors on the flywheel at the current engine speed, and the vibration mode Curve corresponding to the resonance mode of the current engine; wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis;
[0021] A first trajectory processing module is used to determine the coordinate trajectory of the axis center of the final gear main shaft according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine;
[0022] A first eccentricity calculation module, used for calculating the maximum eccentricity of the final gear main shaft center of the engine according to the coordinate trajectory of the final gear main shaft center;
[0023] The first warning module is used to output an engine crankshaft bearing warning signal if the maximum eccentricity of the main shaft axis of the final gear exceeds a preset threshold.
[0024] In a third aspect, an embodiment of the present disclosure provides an electric control unit, including: at least one processor and a memory;
[0025] The memory stores computer-executable instructions;
[0026] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the engine crankshaft bearing risk monitoring method as described in the first aspect and various possible designs of the first aspect.
[0027] In a fourth aspect, an embodiment of the present disclosure provides an engine crankshaft bearing risk monitoring system, comprising: two displacement sensors, arranged on the flywheel of the engine, the two displacement sensors are located in the same cross-section of the flywheel, and the radii of the two displacement sensors to the flywheel axis are at right angles to each other; an electronic control unit, used to execute the engine crankshaft bearing risk monitoring method described in the first aspect and various possible designs of the first aspect.
[0028] In a fifth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer execution instructions. When a processor executes the computer execution instructions, the engine crankshaft bearing risk monitoring method as described in the first aspect and various possible designs of the first aspect is implemented.
[0029] In a sixth aspect, an embodiment of the present disclosure provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the engine crankshaft bearing risk monitoring method as described in the first aspect and various possible designs of the first aspect.
[0030] The disclosed embodiments provide an engine crankshaft bearing risk monitoring method, device and system, which judge whether the engine is in a resonance amplification state according to the current engine speed; if in the resonance amplification state, determine the vibration mode Curve corresponding to the resonance mode according to the current resonance mode, wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis. The trajectory of the final gear main shaft axis and the vibration mode Curve are determined according to the displacement of two sensors on the flywheel at the current engine speed, and the trajectory of the final gear main shaft axis is obtained. Based on the trajectory of the final gear main shaft axis, the maximum eccentricity of the final gear main shaft axis is obtained. Based on the maximum eccentricity of the final gear main shaft axis, it is judged whether the engine crankshaft has a bearing risk and an early warning is issued, thereby realizing the monitoring of the engine crankshaft clearance, predicting the bearing risk caused by crankshaft bending vibration, and ensuring that the engine cannot operate normally. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0032] Figure 1 A schematic diagram of a scenario of a method for monitoring engine crankshaft bearing risk provided by an embodiment of the present disclosure;
[0033] Figure 2 A schematic diagram of a process flow of a method for monitoring engine crankshaft bearing risk provided by an embodiment of the present disclosure;
[0034] Figure 3 An example diagram of a bending resonance vibration mode of a crankshaft system of a certain inline four-cylinder engine provided by an embodiment of the present disclosure;
[0035] Figure 4 A schematic diagram of the structure of an engine crankshaft bearing risk monitoring device provided by an embodiment of the present disclosure;
[0036] Figure 5 A schematic diagram of the hardware structure of the electronic control unit provided in an embodiment of the present disclosure. DETAILED DESCRIPTION
[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.
[0038] Glossary:
[0039] Resonance: A system vibrates in response to an external stimulus, where the frequency of the external stimulus is the same as or very close to the natural frequency of the system.
[0040] MAP: A three-dimensional data map. For example, the a, b, and c coordinates represent different physical parameters. Under different a and b coordinates, the value of the c coordinate is fixed.
[0041] Curve: A two-dimensional data graph. For example, the a and b coordinates represent different physical parameters. Under different a coordinates, the value of the b coordinate is fixed.
[0042] The most serious reliability accident in the engine is the sticking of the bearing, which refers to the phenomenon that the engine crankshaft and the bearing are stuck together, causing the engine to fail to operate normally. After the bearing is broken, the bearing may stick to the crankshaft at the least, or squeeze out from between the bearing cover and the crankshaft at the worst, which may lead to the risk of bending and breaking the crankshaft, deformation of the cylinder block, and even the scrapping of the engine.
[0043] There are many reasons for bearing wear, including insufficient lubricating oil supply, loose connecting rod bolts, insufficient oil viscosity, excessive crankshaft bending vibration, etc. Among them, excessive crankshaft bending vibration is an important reason. When the flywheel end is too heavy, the crankshaft will produce a local bending vibration mode under bending resonance, resulting in a smaller bearing clearance, scratches between the crankshaft and the bearing, and causing bearing wear. Therefore, there is an urgent need for a method to monitor the clearance between the crankshaft and the bearing and predict the risk of bearing wear in advance.
[0044] In order to monitor the gap between the crankshaft and the bearing and predict the risk of crankshaft bearing damage, the disclosed embodiment proposes a method for monitoring the risk of engine crankshaft bearing damage, which sets the bearing damage risk state to a resonant amplification state and a non-resonant amplification state, and adopts different monitoring strategies for each state, so as to predict the risk of bearing damage caused by crankshaft bending vibration and improve the safety of engine operation.
[0045] Figure 1 The following is a schematic diagram of a scenario of a method for monitoring the risk of engine crankshaft bearings provided by an embodiment of the present disclosure. Figure 1As shown, the scenario provided by this embodiment includes: an engine, a flywheel, an elastic coupling, and a dynamometer, a gearbox, a generator set, etc. Take a four-cylinder engine as an example, wherein the engine includes a crankshaft system, and the crankshaft system includes a crankshaft pulley, a main journal of the first to fourth cylinders, and a flywheel.
[0046] The flywheel of the engine is provided with two displacement sensors, which are located in the same cross section of the flywheel and whose radii from the two displacement sensors to the axis of the flywheel are at right angles to each other. The two displacement sensors are respectively connected to the electronic control unit for communication, and the electronic control unit obtains the displacement measured during the rotation of the flywheel.
[0047] The electronic control unit may be any form of controller, such as a single chip microcomputer or a microcontroller, etc. The displacement sensor may be any form of sensor, such as an eddy current displacement sensor.
[0048] Figure 2 This is a flow chart of the engine crankshaft bearing risk monitoring method provided by the embodiment of the present disclosure. The execution subject of this embodiment can be Figure 1 The electronic control unit in the embodiment shown can be any type of controller. Figure 2 As shown, the method includes:
[0049] S201: In the current cycle period, the current speed of the engine is obtained, and whether the engine is in a resonance amplification state is determined according to the current speed.
[0050] In this embodiment, according to the current speed of the engine, it is determined whether the current speed falls within the speed range of the bending vibration resonance, so as to determine whether the engine is in the resonance amplification state.
[0051] Among them, the resonance speed range is calibrated according to different engines.
[0052] The time Δt of the ring cycle period can be set as required.
[0053] S202: If the engine is in a resonance amplification state, determine the current resonance mode according to the current rotation speed.
[0054] In one embodiment of the present disclosure, the resonance mode includes a first-order bending vibration resonance mode and a second-order bending vibration resonance mode.
[0055] Specifically, if the current speed is within the first speed range, the current resonance mode is determined to be a first-order bending vibration resonance mode; if the current speed is within the second speed range, the current resonance mode is determined to be a second-order bending vibration resonance mode, wherein the first speed range is smaller than the second speed range.
[0056] For example, taking a certain type of engine as an example, the first speed range is 2000rpm~2800rpm; the second speed range is 3700rpm~4200rpm.
[0057] refer to Figure 3 , Figure 3 This is an example diagram of the bending resonance vibration mode of the crankshaft system of a certain inline four-cylinder engine provided by the embodiment of the present disclosure. Figure 3 In the figure, points 1 to 6 represent the concentrated mass model (or axis node) of the crankshaft pulley, the main journal of the first to fourth cylinders, and the flywheel. Curve 1 is the first-order bending vibration resonance vibration mode; curve 2 is the second-order bending vibration resonance vibration mode. The vibration amplitude ratio of the crankshaft pulley, the main journal of the first to fourth cylinders, and the flywheel axis node vibration can be obtained through the vibration mode.
[0058] S203: Obtain the displacement of two sensors on the flywheel at the current engine speed, and the vibration mode Curve corresponding to the current resonance mode of the engine; wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis.
[0059] In the disclosed embodiment, the vibration mode Curve is obtained by determining the amplitude ratio of the axis of the final gear main shaft to the axis of the flywheel at each speed within the first speed range according to the first-order bending resonance vibration mode.
[0060] S204: Determine the coordinate trajectory of the axis of the final gear main shaft according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine.
[0061] In one embodiment of the present disclosure, the two displacement sensors include a first displacement sensor and a second displacement sensor, wherein the first displacement sensor measures a first displacement amount, and the second displacement sensor measures a second displacement amount; wherein the horizontal axis of the vibration mode Curve is the rotation speed of the engine, and the vertical axis is the amplitude ratio of the axis center of the final gear main shaft to the axis center of the flywheel;
[0062] Accordingly, the coordinate trajectory of the axis of the final gear main shaft is determined according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine, specifically including:
[0063] According to the current rotational speed, the amplitude ratio of the axis of the final gear main shaft and the axis of the flywheel corresponding to the current rotational speed is determined in the vibration mode Curve; the first displacement and the second displacement are respectively multiplied by the amplitude ratio of the axis of the final gear main shaft and the axis of the flywheel corresponding to the current rotational speed to obtain the eccentricity of the axis of the final gear main shaft in the first direction and the eccentricity of the axis of the second direction; the eccentricity of the first direction and the eccentricity of the second direction of a preset number of collection points are determined as the coordinate trajectory of the axis of the final gear main shaft.
[0064] The preset number of collection points can be set as needed, such as the preset number of collection points n is 50.
[0065] In the disclosed embodiment, the first displacement amount and the second displacement amount are respectively recorded as x and y, and the trajectory coordinates of the flywheel axis can be recorded as (x, y). The first displacement amount x and the second displacement amount y are respectively multiplied by the amplitude ratio t of the final gear main shaft axis and the flywheel axis to obtain the eccentricity xt (recorded as w) in the first direction and the eccentricity yt (recorded as z) in the second direction, and the coordinate trajectory of the final gear main shaft axis is recorded as (w, z).
[0066] S205: Calculating the maximum eccentricity of the final gear main shaft center of the engine according to the coordinate trajectory of the final gear main shaft center.
[0067] In one embodiment of the present disclosure, the maximum eccentricity of the final gear main shaft center of the engine is calculated according to the coordinate trajectory of the final gear main shaft center, and the calculation formula is:
[0068]
[0069] Where i represents the number of acquisition points, w and z are the eccentricity of the spindle axis of the final gear in the first direction and the eccentricity of the spindle axis in the second direction, respectively.
[0070] S206: If the maximum eccentricity of the main shaft axis of the final gear exceeds a preset threshold, an engine crankshaft bearing warning signal is output.
[0071] In the disclosed embodiment, the preset threshold is determined according to the clearance between the crankshaft and the bearing of different engines.
[0072] Among them, outputting the engine crankshaft bearing warning signal can be to display the alarm signal on an instrument or a display screen, or to broadcast it through a voice device.
[0073] From the description of the above embodiment, it can be seen that according to the current speed of the engine, it is determined whether the engine is in a resonance amplification state; if in a resonance amplification state, the vibration mode Curve corresponding to the resonance mode is determined according to the current resonance mode, wherein the horizontal axis of the vibration mode Curve is the speed of the engine, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis. The trajectory of the flywheel axis and the vibration mode Curve are determined according to the displacement of the two sensors on the flywheel at the current speed of the engine, and the trajectory of the final gear main shaft axis is obtained. According to the trajectory of the final gear main shaft axis, the maximum eccentricity of the final gear main shaft axis is obtained. According to the maximum eccentricity of the final gear main shaft axis, it is determined whether the engine crankshaft has a risk of warping, and an early warning is issued, thereby realizing the monitoring of the engine crankshaft clearance, predicting the risk of warping caused by crankshaft bending vibration, and ensuring that the engine cannot operate normally.
[0074] In one embodiment of the present disclosure, after step S201, the method further includes:
[0075] S207: If the engine is in a non-resonance amplification state, the coordinate trajectory of the flywheel axis is determined according to the displacement of the two sensors on the flywheel at the current speed.
[0076] In the embodiment of the present disclosure, the two displacement sensors include a first displacement sensor and a second displacement sensor, wherein the first displacement sensor measures a first displacement amount and the second displacement sensor measures a second displacement amount. Specifically, the first displacement amount and the second displacement amount of a preset number of acquisition points are determined as the coordinate trajectory of the flywheel axis.
[0077] S208: Calculate the maximum eccentricity of the flywheel axis of the engine according to the coordinate trajectory of the flywheel axis.
[0078] In the disclosed embodiment, the maximum eccentricity of the flywheel axis of the engine is calculated according to the coordinate trajectory of the flywheel axis, and the formula is:
[0079]
[0080] In the formula, i represents the number of acquisition points, and x and y represent the first displacement and the second displacement measured by two sensors respectively.
[0081] S209: According to the maximum eccentricity of the flywheel shaft, query whether there is a non-zero value in the pre-stored maximum eccentricity MAP of the flywheel shaft.
[0082] In the embodiment of the present disclosure, the non-zero value in the pre-stored maximum eccentricity MAP of the flywheel shaft is the maximum eccentricity of the flywheel shaft obtained in a cycle before the current cycle.
[0083] It should be noted that when a detection strategy is initially applied, the value of the maximum eccentricity MAP of the flywheel axis will be reset to zero.
[0084] S210: If there is a non-zero value, the maximum eccentricity of the flywheel axis and the non-zero value are used as a positive deviation percentage. If the positive deviation percentage exceeds a preset limit, an engine crankshaft bearing warning signal is output.
[0085] In the disclosed embodiment, the maximum eccentricity of the flywheel axis is calculated as a positive deviation percentage from the non-zero value, and the calculation formula is:
[0086] δ=|(D i -D i-1 ) / D i-1 |*100%
[0087] Where Di is the maximum eccentricity of the flywheel axis obtained in the i-th current ring cycle, that is, the maximum eccentricity of the flywheel axis in the current ring cycle.
[0088] In one embodiment of the present disclosure, if there is no non-zero value, the maximum eccentricity of the flywheel shaft is stored in the pre-stored maximum eccentricity MAP of the flywheel shaft, and after a ring cycle, the process jumps again to the step of obtaining the current speed of the engine, and determining whether the engine is in a resonant amplification state based on the current speed.
[0089] From the above description, it can be seen that if the engine is in a non-resonant amplification state, the deviation of the maximum eccentricity of the flywheel shaft obtained in adjacent cycles is calculated to obtain the degradation trend of the maximum eccentricity of the flywheel shaft, so as to determine whether there is a risk of crankshaft chipping and issue an early warning.
[0090] Figure 4 The structure diagram of the engine crankshaft bearing risk monitoring device provided by the embodiment of the present disclosure is as follows. Figure 4 As shown, the engine crankshaft bearing risk monitoring device 30, the engine flywheel is provided with two displacement sensors, the two displacement sensors are located in the same cross-section of the flywheel, and the radii from the two displacement sensors to the flywheel axis are at right angles to each other, the device is applied to an electronic control unit, including: a first judgment module 301, a second judgment module 302, a vibration mode processing module 303, a first trajectory processing module 304, a first eccentricity calculation module 305 and a first early warning module 306.
[0091] The first judgment module 301 is used to obtain the current speed of the engine in the current cycle period, and determine whether the engine is in a resonance amplification state according to the current speed;
[0092] A second judgment module 302 is used to judge the current resonance mode according to the current speed if the engine is in a resonance amplification state;
[0093] The vibration mode processing module 303 is used to obtain the displacement of the two sensors on the flywheel at the current engine speed, and the vibration mode Curve corresponding to the resonance mode of the current engine; wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis;
[0094] The first trajectory processing module 304 is used to determine the coordinate trajectory of the axis of the last gear main shaft according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine;
[0095] A first eccentricity calculation module 305, for calculating the maximum eccentricity of the final gear main shaft center of the engine according to the coordinate trajectory of the final gear main shaft center;
[0096] The first warning module 306 is used to output an engine crankshaft bearing warning signal if the maximum eccentricity of the final gear main shaft axis exceeds a preset threshold.
[0097] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.
[0098] In a possible design, the two displacement sensors include a first displacement sensor and a second displacement sensor, wherein the first displacement sensor measures a first displacement amount and the second displacement sensor measures a second displacement amount; the trajectory processing module 304 is specifically used to determine, in the vibration type Curve, according to the current rotational speed, the amplitude ratio of the axis of the final gear main shaft and the axis of the flywheel corresponding to the current rotational speed; multiply the first displacement amount and the second displacement amount by the amplitude ratio of the axis of the final gear main shaft and the axis of the flywheel corresponding to the current rotational speed, respectively, to obtain the eccentricity of the axis of the final gear main shaft in the first direction and the eccentricity of the axis of the second direction; determine the eccentricity of the first direction and the eccentricity of the second direction of a preset number of collection points as the coordinate trajectory of the axis of the final gear main shaft.
[0099] In a possible design, the engine crankshaft bearing risk monitoring device 30 further includes:
[0100] A second trajectory processing module 307 is used to determine the coordinate trajectory of the flywheel axis according to the displacement of the two sensors on the flywheel at the current speed if the engine is in a non-resonance amplification state;
[0101] A second eccentricity calculation module 308, for calculating the maximum eccentricity of the flywheel axis of the engine according to the coordinate trajectory of the flywheel axis;
[0102] The third judgment module 309 is used to query whether there is a non-zero value in the pre-stored maximum eccentricity MAP of the flywheel shaft according to the maximum eccentricity of the flywheel shaft.
[0103] The second warning module 310 is used to make a positive deviation percentage between the maximum eccentricity of the flywheel axis and the non-zero value if there is a non-zero value, and output an engine crankshaft bearing warning signal if the positive deviation percentage exceeds a preset limit.
[0104] In a possible design, the engine crankshaft bearing risk monitoring device 30 further includes:
[0105] The value recording module 311 is used to store the maximum eccentricity of the flywheel shaft into the pre-stored maximum eccentricity MAP of the flywheel shaft if there is no non-zero value, and jump to the step of obtaining the current speed of the engine after a ring cycle, and determine whether the engine is in a resonance amplification state according to the current speed.
[0106] The device provided in this embodiment can be used to execute the technical solution of the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.
[0107] Figure 5 The hardware structure diagram of the electronic control unit provided in the embodiment of the present disclosure is shown in FIG. Figure 5 As shown, the electronic control unit 40 of this embodiment includes: a processor 401 and a memory 402;
[0108] Memory 402, used to store computer-executable instructions;
[0109] The processor 401 is used to execute the computer-executable instructions stored in the memory to implement the various steps performed by the receiving device in the above embodiment. For details, please refer to the relevant description in the above method embodiment.
[0110] Optionally, the memory 402 may be independent or integrated with the processor 401 .
[0111] When the memory 402 is independently provided, the electronic control unit further includes a bus 403 for connecting the memory 402 and the processor 401 .
[0112] The embodiment of the present disclosure also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the engine crankshaft bearing risk monitoring method as described above is implemented.
[0113] The disclosed embodiment also provides an engine crankshaft bearing risk monitoring system, comprising: two displacement sensors, arranged on the flywheel of the engine, the two displacement sensors are located in the same cross-section of the flywheel, and the radii of the two displacement sensors to the flywheel axis are at right angles to each other; an electronic control unit, used to execute the engine crankshaft bearing risk monitoring method as described above.
[0114] The displacement sensor may be any type of sensor, such as an eddy current displacement sensor.
[0115] The embodiment of the present disclosure also provides a computer program product, including a computer program, which, when executed by a processor, implements the engine crankshaft bearing risk monitoring method as described above.
[0116] In the several embodiments provided in the present disclosure, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.
[0117] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.
[0118] In addition, each functional module in each embodiment of the present disclosure may be integrated into one processing unit, each module may exist physically separately, or two or more modules may be integrated into one unit. The above modules may be implemented in the form of hardware or hardware plus software functional units.
[0119] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application.
[0120] It should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.
[0121] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.
[0122] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.
[0123] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special purpose computer.
[0124] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a main control device.
[0125] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.
[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present disclosure.
Claims
1. A method for monitoring the risk of engine crankshaft bearings, characterized in that: The flywheel of the engine is provided with two displacement sensors, the two displacement sensors are located in the same cross section of the flywheel, and the radii from the two displacement sensors to the axis of the flywheel are at right angles to each other. The method is applied to an electronic control unit, comprising: In the current cycle period, obtaining the current speed of the engine, and determining whether the engine is in a resonance amplification state according to the current speed; If the engine is in a resonance amplification state, the current resonance mode is determined according to the current rotation speed; Obtain the displacement of the two sensors on the flywheel at the current engine speed, and the vibration mode Curve corresponding to the resonance mode of the current engine; wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis; Determine the coordinate trajectory of the axis of the final gear main shaft according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine; Calculating the maximum eccentricity of the final gear main shaft center of the engine according to the coordinate trajectory of the final gear main shaft center; If the maximum eccentricity of the main shaft of the final gear exceeds a preset threshold, an engine crankshaft bearing warning signal is output; the two displacement sensors include a first displacement sensor and a second displacement sensor, wherein the first displacement sensor measures a first displacement and the second displacement sensor measures a second displacement; Accordingly, the coordinate trajectory of the axis center of the final gear main shaft is determined according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine, including: According to the current speed, determining in the vibration mode Curve the amplitude ratio of the axis center of the final gear main shaft to the axis center of the flywheel corresponding to the current speed; The first displacement and the second displacement are respectively multiplied by the amplitude ratio of the axis of the final gear main shaft to the axis of the flywheel corresponding to the current speed to obtain the eccentricity of the axis of the final gear main shaft in the first direction and the eccentricity of the axis of the final gear main shaft in the second direction; The eccentricity in the first direction and the eccentricity in the second direction of a preset number of collection points are determined as the coordinate trajectory of the spindle axis of the final gear.
2. The method according to claim 1, characterized in that After obtaining the current speed of the engine and determining whether the engine is in a resonance amplification state according to the current speed, the method further includes: If the engine is in a non-resonance amplification state, the coordinate trajectory of the flywheel axis is determined according to the displacement of the two sensors on the flywheel at the current speed; Calculating the maximum eccentricity of the flywheel axis of the engine according to the coordinate trajectory of the flywheel axis; According to the maximum eccentricity of the flywheel shaft, query whether there is a non-zero value in the pre-stored maximum eccentricity MAP of the flywheel shaft; If there is a non-zero value, the maximum eccentricity of the flywheel shaft and the non-zero value are used as a positive deviation percentage. If the positive deviation percentage exceeds a preset limit, an engine crankshaft bearing warning signal is output.
3. The method according to claim 2, characterized in that After querying whether there is a non-zero value in the pre-stored maximum eccentricity MAP of the flywheel shaft according to the maximum eccentricity of the flywheel shaft, the method further comprises: If there is no non-zero value, the maximum eccentricity of the flywheel shaft is stored in the pre-stored maximum eccentricity MAP of the flywheel shaft, and after one ring cycle, the program jumps to the current ring cycle to obtain the current speed of the engine, and determines whether the engine is in a resonant amplification state based on the current speed.
4. The method according to any one of claims 1 to 3, characterized in that: The resonance modes include a first-order bending vibration resonance mode and a second-order bending vibration resonance mode.
5. An engine crankshaft bearing risk monitoring device, characterized in that: include: A first judgment module is used to obtain the current speed of the engine in the current cycle period, and determine whether the engine is in a resonance amplification state according to the current speed; A second judgment module is used to judge the current resonance mode according to the current speed if the engine is in a resonance amplification state; A vibration mode processing module is used to obtain the displacement of two sensors on the flywheel at the current engine speed, and the vibration mode Curve corresponding to the resonance mode of the current engine; wherein the horizontal axis of the vibration mode Curve is the engine speed, and the vertical axis is the amplitude ratio of the final gear main shaft axis to the flywheel axis; A first trajectory processing module is used to determine the coordinate trajectory of the axis center of the final gear main shaft according to the displacement of the two sensors on the flywheel at the current speed and the vibration mode Curve corresponding to the resonance mode of the current engine; A first eccentricity calculation module, used for calculating the maximum eccentricity of the final gear main shaft center of the engine according to the coordinate trajectory of the final gear main shaft center; A first warning module is used to output an engine crankshaft bearing warning signal if the maximum eccentricity of the main shaft of the final gear exceeds a preset threshold; The two displacement sensors include a first displacement sensor and a second displacement sensor, wherein the first displacement sensor measures a first displacement amount and the second displacement sensor measures a second displacement amount; accordingly, the vibration type processing module is specifically used to determine, in the vibration type Curve, the amplitude ratio of the axis center of the final gear main shaft and the axis center of the flywheel corresponding to the current rotational speed; the first displacement amount and the second displacement amount are respectively multiplied by the amplitude ratio of the axis center of the final gear main shaft and the axis center of the flywheel corresponding to the current rotational speed to obtain the eccentricity of the axis center of the final gear main shaft in the first direction and the eccentricity of the axis center of the final gear main shaft in the second direction; the eccentricity of the first direction and the eccentricity of the second direction of a preset number of collection points are determined as the coordinate trajectory of the axis center of the final gear main shaft.
6. An electronic control unit, characterized in that: include: at least one processor and memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor performs the engine crankshaft bearing risk monitoring method as described in any one of claims 1 to 4.
7. An engine crankshaft bearing risk monitoring system, characterized in that: include: Two displacement sensors are arranged on the flywheel of the engine, the two displacement sensors are located in the same cross section of the flywheel, and the radii from the two displacement sensors to the flywheel axis are at right angles to each other; An electronic control unit, used to execute the engine crankshaft bearing risk monitoring method as described in any one of claims 1 to 4.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the processor executes the computer-executable instructions, the engine crankshaft bearing risk monitoring method as described in any one of claims 1 to 4 is implemented.
9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the engine crankshaft bearing risk monitoring method according to any one of claims 1 to 4 is implemented.
