Abnormality diagnosis system

Abstract

To provide an abnormality diagnosis system capable of catching a change of hydraulic behavior caused by an abnormality and determining occurrence of an abnormality in a hydraulic control device.SOLUTION: In a storage device 120 of an abnormality diagnosis system 100, cluster data is stored. The cluster data is data indicating cluster distribution with respect to each type of abnormalities, which is prepared by obtaining, a plurality of times, feature amount value on fluctuation of hydraulic pressure when a hydraulic control device 240 of which abnormality type is known in a specified diagnosis pattern. A processing circuit 110 of the abnormality diagnosis system 100 prepares evaluation data that is feature value data in hydraulic pressure recorded while the hydraulic control device 240 as an evaluation target is operated in the diagnosis pattern. The processing circuit 110 determines whether or not an abnormality has occurred in the hydraulic control device 240 on the basis of a result of a determination as to which cluster in the cluster data each feature value at a plurality of times in the evaluation data belongs to.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an abnormality diagnosis system for a hydraulic control device. [Background technology]

[0002] Patent Document 1 discloses an abnormality diagnosis system that identifies the cause of an abnormality in the shift control of an automatic transmission. The abnormality diagnosis system in Patent Document 1 determines the cause of the abnormality in the automatic transmission based on the manner of transient changes in the rotation speed of the automatic transmission. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-085480 Summary of the Invention [Problem to be solved by the invention]

[0004] When making a judgment based on observing fluctuations in the rotational speed of an automatic transmission, it may be difficult to identify the cause of the abnormality. For example, it is difficult to determine a malfunction of a part in the hydraulic control device of an automatic transmission from fluctuations in the rotational speed. [Means for solving the problem]

[0005] The means for solving the above problems and their effects will be described below. An abnormality diagnosis system for solving the above problem includes a processing circuit and a storage device. The storage device of the abnormality diagnosis system stores cluster data that indicates a cluster distribution for each type of abnormality for feature quantities at multiple times, the cluster data being created by acquiring feature quantity data for hydraulic pressure fluctuations multiple times when a hydraulic control device, the presence or absence of an abnormality and the type of abnormality of which are known, is operated according to a predetermined diagnostic pattern. The processing circuit of the abnormality diagnosis system creates evaluation data from the feature quantity data for hydraulic pressure recorded while the hydraulic control device to be evaluated is operated according to the diagnostic pattern. The processing circuit of the abnormality diagnosis system compares the feature quantities at multiple times included in the evaluation data with the cluster data, and determines whether an abnormality has occurred in the hydraulic control device based on the results of determining to which cluster in the cluster data each of the feature quantities at multiple times in the evaluation data belongs.

[0006] The decision boundary for determining which cluster a feature in the evaluation data belongs to may be determined using a machine learning algorithm such as a support vector machine. [Effects of the Invention]

[0007] The abnormality diagnosis system makes its judgment using data on fluctuations in the hydraulic pressure of the hydraulic control device, and is therefore able to detect changes in the behavior of the hydraulic pressure due to an abnormality and determine whether an abnormality has occurred in the hydraulic control device. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a schematic diagram showing an embodiment of an abnormality diagnosis system and a hydraulic control device to be diagnosed. [Figure 2] FIG. 2 is a schematic diagram showing the configuration of the hydraulic control device. [Figure 3] FIG. 3 is a graph showing an example of a diagnostic pattern. [Figure 4] FIG. 4 is a graph showing an example of clustering. [Figure 5]FIG. 5 is a flowchart showing the flow of processing executed by the abnormality diagnosis system. [Figure 6] FIG. 6 is a table showing the clustering results. DETAILED DESCRIPTION OF THE INVENTION

[0009] An embodiment of the abnormality diagnosis system 100 will be described below with reference to FIGS. <Configuration of Abnormality Diagnosis System 100> Fig. 1 shows an abnormality diagnosis system 100 and an automatic transmission 200 including a hydraulic control device 240 to be diagnosed. When diagnosing the hydraulic control device 240, the abnormality diagnosis system 100 is connected to the automatic transmission 200 as shown in Fig. 1. The abnormality diagnosis system 100 diagnoses the hydraulic control device 240 by operating the hydraulic control device 240 in a predetermined diagnostic pattern.

[0010] 1, the abnormality diagnosis system 100 includes a processing circuit 110, a storage device 120, and a display 130. The processing circuit 110 includes a CPU that executes processing according to a program, and a ROM in which the program is stored. The storage device 120 stores data. The abnormality diagnosis system 100 is, for example, a personal computer or a workstation.

[0011] <Configuration of automatic transmission 200> An automatic transmission 200 including a hydraulic control device 240 to be inspected is mounted on, for example, an automobile. FIG. 1 illustrates a continuously variable transmission as an example of the automatic transmission 200. The automatic transmission 200 includes a first pulley 210, a second pulley 220, and a belt 230 wound around the first pulley 210 and the second pulley 220. The first pulley 210 is connected to an input shaft 211. The second pulley 220 is connected to an output shaft 221. The automatic transmission 200 transmits driving force via the belt 230. In the automatic transmission 200, the hydraulic control device 240 controls a first hydraulic pressure Pp supplied to the first pulley 210 and a second hydraulic pressure Ps supplied to the second pulley 220. This changes the winding radii of the belt 230 around the first pulley 210 and the second pulley 220. In other words, the hydraulic control device 240 changes the gear ratio of the automatic transmission 200 by changing the winding radius of the belt 230 .

[0012] When diagnosing the hydraulic control device 240, a drive motor 300 is connected to the input shaft 211, and a load motor 400 is connected to the output shaft 221. A plurality of hydraulic sensors 500 that detect hydraulic pressure at various parts are connected to the hydraulic control device 240. Diagnosis of the hydraulic control device 240 is performed, for example, as a pre-shipment inspection after the automatic transmission 200 is manufactured. The drive motor 300 reproduces the input of driving force from the driving force source of the automobile to the automatic transmission 200. The load motor 400 reproduces the load acting on the automatic transmission 200.

[0013] <Configuration of hydraulic control device 240> 2, the hydraulic control device 240 includes a regulator valve 241, a modulator valve 242, a first control valve 247, and a second control valve 248. The hydraulic control device 240 also includes a first linear solenoid valve 243, a second linear solenoid valve 244, a first hydraulic damper 245, and a second hydraulic damper 246.

[0014] The regulator valve 241 adjusts the hydraulic pressure of the oil supplied from the oil pump. The hydraulic pressure adjusted by the regulator valve 241 is the line pressure PL. The oil adjusted to the line pressure PL is supplied to a first control valve 247 and a second control valve 248. The hydraulic pressure adjusted to the line pressure PL is also supplied to a modulator valve 242.

[0015] The first control valve 247 supplies oil adjusted to the line pressure PL to the first pulley 210. The first control valve 247 controls the amount of oil supplied to the first pulley 210. The first control valve 247 increases the first oil pressure Pp by supplying oil adjusted to the line pressure PL to the first pulley 210. The first control valve 247 controls the amount of oil discharged from the first pulley 210. The first control valve 247 decreases the first oil pressure Pp by discharging oil from the first pulley 210.

[0016] The second control valve 248 supplies oil adjusted to the line pressure PL to the second pulley 220. The second control valve 248 controls the amount of oil supplied to the second pulley 220. The second control valve 248 increases the second oil pressure Ps by supplying oil adjusted to the line pressure PL to the second pulley 220. The second control valve 248 also controls the amount of oil discharged from the second pulley 220. The second control valve 248 decreases the second oil pressure Ps by discharging oil from the second pulley 220.

[0017] Increasing the first hydraulic pressure Pp and decreasing the second hydraulic pressure Ps increases the winding radius of the belt 230 around the first pulley 210 and decreases the winding radius of the belt 230 around the second pulley 220. Increasing the second hydraulic pressure Ps and decreasing the first hydraulic pressure Pp increases the winding radius of the belt 230 around the second pulley 220 and decreases the winding radius of the belt 230 around the first pulley 210. In this manner, the hydraulic control device 240 changes the gear ratio of the automatic transmission 200.

[0018] The first control valve 247 and the second control valve 248 are each controlled by a signal oil pressure. The modulator valve 242 adjusts the line pressure PL to the signal oil pressure. The oil adjusted to the signal oil pressure is supplied to the first linear solenoid valve 243 and the second linear solenoid valve 244.

[0019] The first linear solenoid valve 243 controls the signal oil pressure supplied to the first control valve 247. The second linear solenoid valve 244 controls the signal oil pressure supplied to the second control valve 248. The signal oil pressure supplied to the first control valve 247 is controlled by opening and closing the first linear solenoid valve 243. The signal oil pressure supplied to the second control valve 248 is controlled by opening and closing the second linear solenoid valve 244.

[0020] A first hydraulic damper 245 is provided in the oil passage connecting the first linear solenoid valve 243 and the first control valve 247. A second hydraulic damper 246 is provided in the oil passage connecting the second linear solenoid valve 244 and the second control valve 248.

[0021] <Cluster data> Cluster data is stored in the storage device 120 of the abnormality diagnosis system 100. The cluster data is created by acquiring, multiple times, data on feature quantities regarding fluctuations in hydraulic pressure when the hydraulic control device 240, whose presence or absence and type of abnormality are known, is operated in a predetermined diagnostic pattern. The cluster data is data that indicates the distribution of clusters for each type of abnormality for each feature quantity at multiple times in the predetermined diagnostic pattern. To create the cluster data, the hydraulic control device 240 is operated in the predetermined diagnostic pattern while measuring the hydraulic pressure. For example, of the hydraulic pressures at various locations in the hydraulic control device 240, the line pressure PL, the first hydraulic pressure Pp, and the second hydraulic pressure Ps are measured.

[0022] 3 shows the transition of the target hydraulic pressure Ppt of the first hydraulic pressure Pp in a predetermined diagnostic pattern. The predetermined diagnostic pattern is defined by the target hydraulic pressure PLt of the line pressure PL, the target hydraulic pressure Ppt of the first hydraulic pressure Pp, and the target hydraulic pressure Pst of the second hydraulic pressure Ps. The predetermined diagnostic pattern is defined so that abnormalities in each part of the hydraulic control device 240 can be diagnosed from the transition of the measured hydraulic pressures by varying the line pressure PL, the first hydraulic pressure Pp, and the second hydraulic pressure Ps over a predetermined period. In the predetermined diagnostic pattern, the target hydraulic pressure PLt of the line pressure PL, the target hydraulic pressure Ppt of the first hydraulic pressure Pp, and the target hydraulic pressure Pst of the second hydraulic pressure Ps each have a different change pattern.

[0023] The actual hydraulic pressure fluctuates with a delay relative to fluctuations in the target hydraulic pressure. The actual hydraulic pressure may overshoot the target hydraulic pressure. The actual hydraulic pressure may not immediately converge to the target hydraulic pressure, but may oscillate above and below the target hydraulic pressure until it converges to the target hydraulic pressure. Data showing the change in the differential pressure between the target hydraulic pressure and the measured hydraulic pressure includes information on the delay, overshoot, and oscillation of the actual hydraulic pressure relative to the target hydraulic pressure. Such delay, overshoot, and oscillation may occur even in a hydraulic control device 240 where no abnormalities are occurring.

[0024] The predetermined diagnostic pattern divides time periods into periods corresponding to the type of abnormality to be detected, and in each period, the hydraulic control device 240 controls a plurality of hydraulic pressures in a pattern suitable for detecting the corresponding abnormality. The cluster data is created by repeatedly measuring the line pressure PL, the first hydraulic pressure Pp, and the second hydraulic pressure Ps multiple times while the hydraulic control device 240 is operated in accordance with the predetermined diagnostic pattern. The cluster data is created using a hydraulic control device 240 in which no abnormality has occurred, as well as a hydraulic control device 240 in which the abnormality to be detected has occurred.

[0025] For example, hydraulic pressures are measured while a hydraulic control device 240 with no abnormality is operated in a predetermined diagnostic pattern. By performing this measurement a predetermined number of times, data for cluster C_0 in a state where no abnormality is occurring is obtained. By similarly performing a predetermined number of measurements using a hydraulic control device 240 in which an abnormality is occurring in the first hydraulic damper 245, data for cluster C_1 in a state where an abnormality is occurring in the first hydraulic damper 245 is obtained. By similarly performing a predetermined number of measurements using a hydraulic control device 240 in which an abnormality is occurring in the second hydraulic damper 246, data for cluster C_2 in a state where an abnormality is occurring in the second hydraulic damper 246 is obtained. By similarly performing a predetermined number of measurements using a hydraulic control device 240 in which an abnormality is occurring in the first control valve 247, data for cluster C_3 in a state where an abnormality is occurring in the first control valve 247 is obtained. By similarly performing a predetermined number of measurements using a hydraulic control device 240 in which an abnormality is occurring in the second control valve 248, data for cluster C_4 in a state where an abnormality is occurring in the second control valve 248 is obtained.

[0026] The cluster data is data on the feature quantities of fluctuations in the line pressure PL, the first hydraulic pressure Pp, and the second hydraulic pressure Ps, which are compiled to show the distribution of each type of abnormality. The feature quantities are, for example, the amount of hydraulic pressure overshoot, a time constant indicating the hydraulic pressure response delay, the amplitude of hydraulic pressure oscillations, the frequency of hydraulic pressure oscillations, and the damping coefficient of hydraulic pressure oscillations. The cluster data is data that shows the distribution of these feature quantities at multiple times of a predetermined diagnostic pattern, based on the measured hydraulic pressure data, by classifying them into the presence or absence of an abnormality and the type of abnormality.

[0027] FIG. 4 shows part of the cluster data for the first hydraulic pressure Pp, illustrating the distribution of clusters for the amount of overshoot at a certain time. In the example shown in FIG. 4, three clusters are shown in a one-dimensional coordinate system with the amount of overshoot as the explanatory variable. In FIG. 4, each piece of overshoot amount data for cluster C_0 in a state where no abnormality occurs is shown as a hollow circle. Each piece of overshoot amount data for cluster C_1 in a state where an abnormality occurs in the first hydraulic damper 245 is shown as a hollow triangle. Each piece of overshoot amount data for cluster C_3 in a state where an abnormality occurs in the first control valve 247 is shown as a hollow rectangle. In FIG. 4, the center of gravity of each cluster is indicated by a cross.

[0028] The cluster data is data that summarizes the distribution of clusters for each type of abnormality at multiple times for each feature amount of each hydraulic pressure in a predetermined diagnostic pattern. When the hydraulic control device 240 is operated using the same diagnostic pattern, the manner of hydraulic pressure fluctuations varies depending on the presence or absence of an abnormality and the type of abnormality. Therefore, as shown in FIG. 4, the distribution of data for each feature value varies depending on the presence or absence of an abnormality and the type of abnormality. Therefore, the abnormality diagnosis system 100 creates evaluation data by recording each feature value of the hydraulic pressure while the hydraulic control device 240 to be evaluated is operated using a predetermined diagnostic pattern. The abnormality diagnosis system 100 then compares each feature value at multiple times included in the evaluation data with the cluster data. The abnormality diagnosis system 100 then performs clustering to determine which cluster in the cluster data each feature value at multiple times in the evaluation data belongs to. The abnormality diagnosis system 100 then performs abnormality diagnosis to determine whether an abnormality has occurred in the hydraulic control device 240 to be evaluated based on the clustering results.

[0029] <Series of processes executed by the abnormality diagnosis system 100> Next, a flow of a series of processes for abnormality diagnosis executed by the abnormality diagnosis system 100 will be described with reference to Fig. 5. The series of processes shown in Fig. 5 are executed by the processing circuit 110 of the abnormality diagnosis system 100.

[0030] 5, the processing circuit 110 first measures the hydraulic pressure while operating the hydraulic control device 240 in a predetermined diagnostic pattern in step S100. The processing circuit 110 measures the line pressure PL, the first hydraulic pressure Pp, and the second hydraulic pressure Ps while operating the hydraulic control device 240 in accordance with the predetermined diagnostic pattern. The processing circuit 110 records time-series data of each measured hydraulic pressure in the storage device 120 together with information on the time from the start of measurement.

[0031] In the process of step S110, the processing circuit 110 analyzes the time-series data of each hydraulic pressure recorded in the storage device 120 and creates data on the feature quantities of each hydraulic pressure as evaluation data. The evaluation data is data on the amount of hydraulic pressure overshoot, the time constant indicating the hydraulic pressure response delay, the amplitude of hydraulic pressure vibration, the frequency of hydraulic pressure vibration, and the damping coefficient of hydraulic pressure vibration. The processing circuit 110 records the created evaluation data in the storage device 120. The evaluation data is data on each feature quantity for each time period from the start of measurement.

[0032] In the process of step S120, the processing circuit 110 compares the evaluation data with the reference cluster data to cluster the evaluation data. Specifically, the processing circuit 110 compares feature amounts at multiple times included in the evaluation data with the cluster data, and determines to which cluster in the cluster data each feature amount at multiple times in the evaluation data belongs.

[0033] In Fig. 4, the amount of overshoot P_trg in the evaluation data is indicated by a black triangle symbol. The processing circuit 110, for example, calculates the distance between the amount of overshoot in the evaluation data and the center of gravity of each cluster. Then, the processing circuit 110 determines that the amount of overshoot in the evaluation data belongs to the cluster having the closest center of gravity. In the example shown in Fig. 4, the center of gravity closest to the amount of overshoot P_trg in the evaluation data is the center of gravity of cluster C_1. Therefore, the amount of overshoot P_trg in the evaluation data is determined to belong to cluster C_1.

[0034] The clustering method is not limited to the method of calculating the distance from the center of gravity. For example, a decision boundary for determining which cluster a feature in the evaluation data belongs to may be determined using a machine learning algorithm such as a support vector machine. The dashed line in FIG. 4 is an example of the decision boundary. In the example shown in FIG. 4, the overshoot amount P_trg in the evaluation data is located closer to cluster C_1 than the decision boundary between clusters C_1 and C_3. Therefore, the overshoot amount P_trg in the evaluation data is determined to belong to cluster C_1.

[0035] In this way, in step S120, the processing circuit 110 determines to which cluster in the cluster data each of the feature quantities at multiple times in the evaluation data belongs.

[0036] In the process of step S130, the processing circuit 110 stores the clustering results in the storage device 120. As shown in FIG. 6 , the clustering result data stored in the storage device 120 is information indicating which cluster each feature of each hydraulic pressure is determined to belong to at each time from the start of measurement. In FIG. 6 , a “1” is displayed for a portion determined to belong to cluster C_1, a “3” for a portion determined to belong to cluster C_3, and a “-” for a portion for which it could not be determined to which cluster it belongs. When the hydraulic pressure is in a balanced state, all feature values ​​are 0. Therefore, during the period in the diagnostic pattern in which the hydraulic pressure is in a balanced state, the processing circuit 110 cannot determine which cluster the feature of the evaluation data belongs to. Even when clusters in the cluster data overlap, the processing circuit 110 cannot determine which cluster the feature of the evaluation data belongs to. Although not shown in FIG. 6 , a “0” is displayed for a portion determined to belong to cluster C_0, a “2” for a portion determined to belong to cluster C_2, and a “4” for a portion determined to belong to cluster C_4.

[0037] In the process of step S140, the processing circuit 110 executes an abnormality determination process. In the abnormality determination process, the processing circuit 110 refers to the clustering results and determines whether or not an abnormality has occurred in the hydraulic control device 240 being evaluated. For example, if the number of times that it has been determined that it belongs to cluster C_0 is greater than the number of times that it has been determined that it belongs to any of the other clusters, it is determined that no abnormality has occurred. For example, the processing circuit 110 determines that an abnormality has occurred corresponding to the cluster among clusters C_1 to C_4 to which the feature quantities of the evaluation data have been determined to belong the most times.

[0038] The predetermined diagnostic pattern divides time periods into periods corresponding to the type of abnormality to be detected, and in each period, the hydraulic control device 240 controls the multiple hydraulic pressures in a pattern suitable for detecting the corresponding abnormality. Therefore, the abnormality detection process may be a process for determining the presence or absence of an abnormality and the type of abnormality by weighting the clustering results in a period suitable for detecting the abnormality for each type of abnormality so as to place particular importance on the results of the clustering. The abnormality detection process may be a process using a trained neural network that has been trained in advance by supervised learning so that it can determine which abnormality has occurred by inputting the clustering result data.

[0039] In the process of step S150, the processing circuit 110 outputs the diagnosis result obtained through the abnormality determination process. Specifically, the processing circuit 110 displays the diagnosis result on the display 130.

[0040] <Operation of this embodiment> The processing circuit 110 of the abnormality diagnosis system 100 creates evaluation data from data of each feature amount at each hydraulic pressure recorded while the hydraulic control device 240 to be evaluated is operated in a diagnostic pattern (step S110). The processing circuit 110 performs clustering to determine to which cluster in the cluster data each feature amount at a plurality of times in the evaluation data belongs (step S120). The processing circuit 110 determines whether or not an abnormality has occurred in the hydraulic control device 240 based on the clustering result (step S140).

[0041] If an abnormality occurs in the hydraulic control device 240, the hydraulic pressure fluctuations will differ from the hydraulic pressure fluctuations observed in a normal hydraulic control device 240. Therefore, the feature data obtained when the hydraulic control device 240 is operated in a predetermined diagnostic pattern will show changes according to the presence or absence of an abnormality and the type of abnormality. The abnormality diagnosis system 100 compares the data with the cluster data and determines to which cluster each of the feature quantities at multiple times in the evaluation data belongs. Based on the determination result, the abnormality diagnosis system 100 determines whether an abnormality has occurred in the hydraulic control device 240.

[0042] <Effects of this embodiment> (1) The abnormality diagnosis system 100 makes a judgment using data on fluctuations in the hydraulic pressure of the hydraulic control device 240, and therefore can detect changes in the behavior of the hydraulic pressure due to an abnormality and determine whether an abnormality has occurred in the hydraulic control device 240.

[0043] (2) When the processing circuit 110 determines that an abnormality has occurred, it outputs information about the type of abnormality that has occurred, so that the abnormality diagnosis system 100 can determine the type of abnormality.

[0044] (3) The feature quantities include the amount of hydraulic pressure overshoot, the time constant indicating the hydraulic pressure response delay, the amplitude of hydraulic pressure vibration, the frequency of hydraulic pressure vibration, and the damping coefficient of hydraulic pressure vibration. Therefore, the abnormality diagnosis system 100 can detect changes in the manner of hydraulic pressure fluctuations and determine the presence or absence of an abnormality and the type of abnormality.

[0045] (4) The diagnostic pattern divides time periods into periods corresponding to the type of abnormality to be detected, and in each period, the hydraulic control device 240 controls multiple hydraulic pressures in a pattern suitable for detecting the corresponding abnormality. The abnormality diagnosis system 100 controls multiple hydraulic pressures in a pattern suitable for detecting each abnormality. This makes it easy to determine the type of abnormality.

[0046] (5) The multiple hydraulic pressures controlled by the hydraulic control device 240 include a first hydraulic pressure Pp, which is the hydraulic pressure at the first pulley 210 of the continuously variable transmission, and a second hydraulic pressure Ps, which is the hydraulic pressure at the second pulley 220 of the continuously variable transmission. Therefore, the abnormality diagnosis system 100 can diagnose the hydraulic control device 240, which controls the hydraulic pressures supplied to the first pulley 210 and the second pulley 220.

[0047] <Example of change> This embodiment can be modified as follows: This embodiment and the following modifications can be combined and implemented within the scope of technical compatibility.

[0048] The abnormality diagnosis system 100 does not need to determine the type of abnormality. For example, it outputs the presence or absence of an abnormality and the clustering result data shown in FIG. 6. In this case, the abnormality diagnosis system 100 can provide information that can be used to determine not only whether an abnormality has occurred but also the type of abnormality that has occurred. Based on this information, the operator can determine which abnormality has occurred.

[0049] The above-described abnormality diagnosis system 100 determines whether or not there is an abnormality in the hydraulic control device 240 that controls the hydraulic pressure supplied to the first pulley 210 and the second pulley 220 of a continuously variable transmission. The hydraulic control device 240 to be diagnosed is not limited to the hydraulic control device 240 of a continuously variable transmission. The diagnosis target may also be a hydraulic control device of a stepped transmission. Furthermore, the diagnosis target is not limited to a hydraulic control device of an automatic transmission.

[0050] In the above embodiment, the abnormality diagnosis system 100 includes a processing circuit 110 and a storage device 120 and executes software processing. However, this is merely an example. For example, the abnormality diagnosis system 100 may include a dedicated hardware circuit (e.g., an ASIC) that processes at least part of the software processing executed in the above embodiment. That is, the abnormality diagnosis system 100 may have any of the following configurations (A) to (C). (A) The abnormality diagnosis system 100 includes an execution device that executes all processing in accordance with a program and a storage device that stores the program. That is, the abnormality diagnosis system 100 includes a software execution device. (B) The abnormality diagnosis system 100 includes an execution device that executes part of the processing in accordance with a program and a storage device. Furthermore, the abnormality diagnosis system 100 includes a dedicated hardware circuit that executes the remaining processing. (C) The abnormality diagnosis system 100 includes a dedicated hardware circuit that executes all processing. Here, there may be multiple software execution devices and / or dedicated hardware circuits. That is, the processes may be performed by processing circuitry that includes one or more software executing devices and / or one or more dedicated hardware circuits. Storage devices, i.e., computer-readable media, that store the programs include any available media that can be accessed by a general-purpose or special-purpose computer. [Explanation of symbols]

[0051] 100... Abnormality diagnosis system, 110... Processing circuit, 120... Storage device, 130... Display, 200... Automatic transmission, 210... First pulley, 211... Input shaft, 220... Second pulley, 221... Output shaft, 230... Belt, 240... Hydraulic control device, 241... Regulator valve, 242... Modulator valve, 243... First linear solenoid valve, 244... Second linear solenoid valve, 245... First hydraulic damper, 246... Second hydraulic damper, 247... First control valve, 248... Second control valve, 300... Drive motor, 400... Load motor, 500... Hydraulic sensor

Claims

1. a processing circuit and a storage device; data on feature quantities relating to fluctuations in hydraulic pressure when a hydraulic control device, the presence or absence and type of which is known, is operated in a predetermined diagnostic pattern, is acquired a plurality of times, and cluster data showing a distribution of clusters for each type of abnormality for the feature quantities at a plurality of times is stored in the storage device; the processing circuitry creating evaluation data from data of the characteristic quantities in the hydraulic pressure recorded while the hydraulic control device to be evaluated is operated in accordance with the diagnostic pattern; The feature amounts at a plurality of times included in the evaluation data are compared with the cluster data, and it is determined to which cluster in the cluster data each of the feature amounts at a plurality of times in the evaluation data belongs, based on the result of the determination whether or not an abnormality has occurred in the hydraulic control device. Abnormality diagnosis system.

2. When it is determined that an abnormality has occurred, the processing circuit outputs information on the type of abnormality that has occurred. The abnormality diagnosis system according to claim 1 .

3. The characteristic amount includes an overshoot amount of the hydraulic pressure, a time constant indicating a response delay of the hydraulic pressure, an amplitude of the vibration of the hydraulic pressure, a frequency of the vibration of the hydraulic pressure, and a damping coefficient of the vibration of the hydraulic pressure. The abnormality diagnosis system according to claim 1 .

4. The diagnostic pattern is a pattern in which time periods are divided according to the type of abnormality to be determined, and in each time period, the hydraulic pressures controlled by the hydraulic control device are controlled in a pattern suitable for determining the corresponding abnormality. The abnormality diagnosis system according to claim 2 .

5. The plurality of hydraulic pressures controlled by the hydraulic control device include a first hydraulic pressure that is a hydraulic pressure at a first pulley of a continuously variable transmission and a second hydraulic pressure that is a hydraulic pressure at a second pulley of the continuously variable transmission, Diagnosing the hydraulic control device that controls the hydraulic pressure supplied to the first pulley and the second pulley The abnormality diagnosis system according to claim 4 .

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