JP2011189788A - Device and method for diagnosing sign of failure - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device for diagnosing a sign of failure that accurately detects a symptom of abnormal conditions of on-board electronic components by evaluating the external factor derived from the external environment. <P>SOLUTION: The device for diagnosing the sign of the failure includes: an abnormal condition detector for detecting the abnormal conditions of the on-board electronic components, when a data value associated directly with the on-board electronic components exceeds a predetermined threshold for detecting the abnormal conditions; and an abnormal condition symptom detector. The abnormal condition symptom detector detects the symptom of the abnormal condition of the on-board electronic components when occurrence of an abnormal condition-factor event exceeds a predetermined threshold for detecting the sign, under the condition that the data value associated directly with the on-board electronic components does not exceed the threshold for detecting the abnormal conditions, wherein the occurrence of the abnormal condition-factor event may be a factor of the abnormal conditions of the on-board electronic components and occurs in the external environment of the on-board electronic components. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a failure sign diagnosis apparatus and method for detecting a sign of abnormality in an on-vehicle electronic component.

  2. Description of the Related Art Conventionally, an abnormality detection processing device is provided that includes a sign detection unit that monitors an output value of a detection device and detects a sign of abnormality of the detection device (for example, a sign of abnormality in a sensor value) for the output value of the detection device (For example, refer to Patent Document 1).

JP 2007-118701 A

  However, in-vehicle electronic components such as sensors may become abnormal due to external factors (for example, accumulation of impact) received from the external environment. Therefore, it is not possible to accurately detect a sign of abnormality of the in-vehicle electronic component only by evaluating the output value of the in-vehicle electronic component itself without considering such external factors.

  Therefore, an object of the present invention is to provide a failure sign diagnosis apparatus and method that can accurately detect signs of abnormality of in-vehicle electronic components by evaluating external factors received from the external environment.

In order to achieve the above object, according to one aspect of the present invention, an abnormality detection that detects an abnormality of the in-vehicle electronic component when a data value directly related to the in-vehicle electronic component exceeds a predetermined abnormality detection threshold value. Means,
An abnormality sign detection means,
The abnormality sign detection means is the number of occurrences of an abnormality factor event that may cause an abnormality of the in-vehicle electronic component under a situation where a data value directly related to the in-vehicle electronic component does not exceed the abnormality detection threshold, Provided is a failure sign diagnosis device that detects a sign of an abnormality in the in-vehicle electronic component when the number of occurrences of an abnormal factor event occurring in an external environment of the electronic component exceeds a predetermined sign detection threshold. The

  ADVANTAGE OF THE INVENTION According to this invention, the failure sign diagnostic apparatus etc. which can detect the sign of abnormality of a vehicle-mounted electronic component accurately can be obtained by evaluating the external factor received from an external environment.

It is a block diagram which shows the main structures of the failure sign diagnostic apparatus 1 by one Example (Example 1) of this invention. It is a functional block diagram which shows the main functions implement | achieved by ECU10 of a present Example. It is a flowchart which shows the flow of the main processing implement | achieved by ECU10 of a present Example. It is a flowchart which shows an example of the abnormality sign detection process by the abnormality sign detection part 14 of a present Example. It is a figure which shows an example of the relationship between the frequency | count of occurrence of an abnormal factor event, and the threshold value for a sign detection. 4 is a diagram illustrating an example of various determination areas set for a certain electronic component 20. FIG. It is a figure which shows typically the one aspect | mode of the change of the threshold value for abnormality detection according to the detection result of the abnormality sign detection part. It is a figure which shows an example of the update aspect of the threshold value for precursor detection with respect to the frequency | count of occurrence of an abnormal factor event. It is a block diagram which shows the main structures of the failure sign diagnostic apparatus 2 by one Example (Example 2) of this invention.

  The best mode for carrying out the present invention will be described below with reference to the drawings.

  FIG. 1 is a configuration diagram showing a main configuration of a failure sign diagnosis apparatus 1 according to an embodiment (embodiment 1) of the present invention. The failure sign diagnostic apparatus 1 is configured around an ECU (electronic control unit) 10.

  The ECU 10 includes a microcomputer, and includes, for example, a CPU, a ROM that stores a control program, a readable / writable RAM that stores calculation results, a timer, a counter, an input interface, an output interface, and the like. ECU10 implement | achieves the below-mentioned failure sign diagnostic function, when CPU runs the various programs memorize | stored in ROM.

  An electronic component 20 that is an abnormality detection target is connected to the ECU 10. The electronic component 20 that is an abnormality detection target may be any on-vehicle electronic component. The electronic component 20 is typically a sensor or an actuator. In addition, the electronic component 20 may include a communication line such as a CAN (controller area network), a memory, and the like. More specifically, the electronic component 20 may be, for example, a fuel pump motor that sucks up fuel, an injector that injects fuel, or a rotational speed sensor that detects engine rotational speed.

  The ECU 10 is connected with an abnormality factor event detection means 30. The abnormality factor event detection unit 30 detects an abnormality factor event that can cause an abnormality of the electronic component 20 and that occurs in the external environment of the electronic component 20. An abnormal factor event is typically an acceleration of a predetermined level or higher and a temperature change of a predetermined level or higher. The predetermined level varies depending on the electronic component 20, and is determined according to the electronic component 20.

  For example, when the electronic component 20 is a rotational speed sensor that detects the engine rotational speed, the abnormal factor event may be, for example, a temperature change of ± 60 ° C. or higher and / or an acceleration of 1 G or higher. In this case, the abnormal factor event detection means 30 may be a temperature sensor and an acceleration sensor. The temperature sensor may be arranged at an arbitrary position where the temperature around the mounting position of the rotation speed sensor can be detected. The temperature sensor includes a cooling water temperature sensor that detects the temperature of the engine cooling water (cooling water temperature), an intake air temperature sensor that detects the intake air temperature (outside air temperature), a sensor that detects the engine oil temperature, and a sensor that detects the transmission oil temperature. It may be a temperature sensor set for other purposes. The acceleration sensor may detect an acceleration that correlates with the acceleration generated around the mounting position of the rotation speed sensor. The acceleration sensor may be shared with a sensor used for collision safety control, vehicle travel control (for example, vehicle stabilization control), or the like. The acceleration sensor may be one that detects acceleration in three axial directions, but may be one that detects only acceleration in a predetermined direction such as up and down and left and right. It is only necessary to detect an acceleration component in a direction that can cause an abnormality.

  Similarly, when the electronic component 20 is a communication line such as CAN or a memory, the abnormal factor event may be a temperature change of ± 60 ° C. or more and / or an acceleration of 1 G or more, for example. In this case, the abnormal factor event detection means 30 may be a temperature sensor and an acceleration sensor, and the temperature sensor may be disposed at an arbitrary position where the temperature around the mounting position of the electronic component 20 can be detected. The acceleration sensor may detect an acceleration correlated with the acceleration generated around the mounting position of the electronic component 20, and may be shared with a sensor used for collision safety control, vehicle travel control, or the like. .

  When the electronic component 20 is a fuel pump motor, the abnormal factor event may be, for example, fuel injection by an injector. In this case, the abnormality factor event detection means 30 may detect the fuel injection operation of the injector based on information from the EFI / ECU that controls the injector. Moreover, when the electronic component 20 is an injector, the abnormal factor event may be, for example, an operation of a fuel pump motor. In this case, the abnormality factor event detection means 30 may detect the operation of the fuel pump motor based on information from the ECU that controls the fuel pump motor.

  FIG. 2 is a functional block diagram showing main functions realized by the ECU 10 of the present embodiment. As shown in FIG. 2, the ECU 10 includes an abnormality detection unit 12, an abnormality sign detection unit 14, and an abnormality factor event occurrence count storage unit 16.

  The abnormality detection unit 12 detects the presence / absence of an abnormality in the electronic component 20 based on a data value directly related to the electronic component 20 that is an abnormality detection target. That is, the abnormality detection unit 12 detects an abnormality of the electronic component 20 when the data value directly related to the electronic component 20 exceeds a predetermined abnormality detection threshold. When the electronic component 20 is a sensor, the data value directly related to the electronic component 20 may be a sensor output value. When the electronic component 20 is an actuator, the data value directly related to the electronic component 20 may be an actuator current value (drive current) or a resistance value. When the electronic component 20 is a communication line, the data value directly related to the electronic component 20 may be the number of communication errors. When the electronic component 20 is a memory (for example, EEPROM), the data value directly related to the electronic component 20 may be the number of write errors. The abnormality detection threshold is adapted for each electronic component 20 in consideration of a test result or the like so that the abnormality of the electronic component 20 can be detected with high accuracy.

  The abnormality sign detection unit 14 detects an abnormality sign that is not abnormal but is likely to become abnormal. Details of the abnormality sign detection method will be described later.

  The abnormality factor event occurrence count storage unit 16 accumulates and stores the number of occurrences of abnormal factor events one by one each time an abnormal factor event is detected by the abnormal factor event detection means 30. The number of occurrences of the abnormal factor event may be stored for each electronic component 20, but may be stored for each abnormal factor event when a common abnormal factor event is used. For example, every time a temperature change of ± 60 ° C. or more is detected, the abnormality factor event occurrence number storage unit 16 accumulates and stores the number of occurrences of the abnormality factor event related to the temperature change one by one. Further, the abnormal factor event occurrence number storage unit 16 accumulates and stores the number of occurrences of abnormal factor events related to acceleration one by one, for example, every time an acceleration of 1 G or more is detected. The abnormality factor event occurrence number storage unit 16 may reset the occurrence number of the abnormality factor event when the electronic component 20 is replaced or repaired.

  FIG. 3 is a flowchart showing a flow of main processing realized by the ECU 10 of the present embodiment. The processing routine shown in FIG. 3 may be executed periodically while the vehicle is traveling, or may be executed in non-real time. The processing routine shown in FIG. 3 may be executed for each electronic component 20 to be detected for abnormality.

  In steps 300 and 302, the abnormality detection unit 12 performs an abnormality detection process on the electronic component 20 based on the data value directly related to the electronic component 20 that is the abnormality detection target. When the data value directly related to the electronic component 20 as the abnormality detection target indicates an abnormal value, that is, when the data value directly related to the electronic component 20 as the abnormality detection target exceeds a predetermined abnormality detection threshold value. Proceeds to step 304. If the data value directly related to the electronic component 20 as the abnormality detection target does not exceed the predetermined abnormality detection threshold, the process proceeds to step 306.

  In step 304, the abnormality detection unit 12 generates information (for example, a diagnosis) indicating that an abnormality has been detected in the electronic component 20. Further, the abnormality detection unit 12 may take measures to cope with the detection of the abnormality of the electronic component 20. This measure is more urgent than a measure corresponding to an anomaly sign of a sign level 3 described later. For example, the abnormality detection unit 12 may output a message prompting the driver to evacuate the vehicle (for example, evacuate to the road shoulder) by voice and / or display.

  In step 306, an abnormality sign detection process by the abnormality sign detection unit 14 is executed. Details of the abnormality sign detection processing will be described in detail below with reference to FIG.

  FIG. 4 is a flowchart illustrating an example of the abnormality sign detection process performed by the abnormality sign detection unit 14. FIG. 5 is a diagram illustrating an example of the relationship between the number of occurrences of abnormal cause events and the sign detection threshold. FIG. 6 is a diagram illustrating an example of various determination areas set for a certain electronic component 20.

  Here, first, FIG. 6 will be described, and then FIGS. 4 and 5 will be described. FIG. 6 shows various determination areas (threshold values) set for data values directly related to the electronic component 20. In the example illustrated in FIG. 6, a region A in which data values directly related to the electronic component 20 are within a range from a1 to a2 is set as an initial normal range. This range corresponds to a range of values that can be taken in the initial state at the time of vehicle release in the designed vehicle control. c1 and c2 correspond to abnormality detection threshold values. In this case, a range in which the data value directly related to the electronic component 20 exceeds c1 or falls below c2 is a region (abnormality determination region) where the abnormality detection unit 12 detects an abnormality. An area in which the data value directly related to the electronic component 20 is larger than a2 but smaller than c2, and the area in which the data value directly related to the electronic component 20 is larger than c1 but smaller than a1 is detected as an abnormality as in the initial normal range A. This is an area that is not determined to be abnormal by the unit 12 (normal determination area).

  The processing routine shown in FIG. 4 may be executed for each electronic component 20 to be detected for abnormality.

  In step 400, the abnormality sign detection unit 14 sets the number of occurrences of the abnormal cause event to a predetermined number (prediction detection threshold) based on the information (number of occurrences of the abnormal cause event) in the abnormality cause event occurrence number storage unit 16. It is determined whether it has been exceeded.

  Here, referring to FIG. 5, in FIG. 5, an increase in the number of occurrences of the abnormal factor event over time (accumulation mode of the abnormal factor event) is indicated by a reference symbol P. Further, FIG. 5 shows a sign detection threshold. In the example shown in FIG. 5, the number of occurrences of abnormal factor events (number of occurrences of acceleration of 1 G or more) gradually increases with time, and exceeds the sign detection threshold at time t1. In this case, the determination result in this step 400 is affirmative at this time t1.

  Returning to FIG. 4, when the number of occurrences of the abnormal factor event exceeds the sign detection threshold value in step 400, the abnormal sign detection unit 14 determines that an abnormal sign has been detected, and proceeds to step 404. If the number of occurrences of the event does not exceed the sign detection threshold, the process proceeds to step 402. In addition, when two or more abnormal factor events (for example, temperature change of ± 60 ° C. or higher and acceleration of 1 G or higher) are taken into consideration for a certain electronic component 20, a sign detection is performed for each abnormal factor event. A threshold is set, but if the number of occurrences of any one abnormal factor event exceeds the corresponding sign detection threshold, it is determined that an abnormal sign has been detected, and the process proceeds to step 404. Otherwise, The process may proceed to step 402. Alternatively, when two or more abnormality factor events are considered for a certain electronic component 20, the number of occurrences of the abnormality factor event is for the corresponding sign detection for all the abnormality factor events or two or more abnormality factor events. If the threshold value is exceeded, it may be determined that an abnormality sign has been detected, and the process proceeds to step 404. Otherwise, the process may proceed to step 402.

  In step 402, the abnormality sign detection unit 14 determines that there is no abnormality sign and ends the process.

  In step 404, the abnormality sign detection unit 14 acquires a data value directly related to the electronic component 20 (data value of the electronic component 20). The data value of the electronic component 20 acquired here is a data value detected after the number of occurrences of the abnormal factor event exceeds the sign detection threshold. The data value may be a data value at a certain point in time, but is preferably a data value over a predetermined time (see FIG. 7).

  In step 406, the abnormality sign detection unit 14 determines whether or not the data value of the electronic component 20 is within the initial normal range A (see FIG. 6) based on the data value acquired in step 404. If the data value of the electronic component 20 is within the initial normal range A, the process proceeds to step 408. If the data value of the electronic component 20 is outside the initial normal range A, the process proceeds to step 410.

  In step 408, the abnormality sign detection unit 14 determines that an abnormality sign of the sign level 1 has been detected and ends the process. At this time, the abnormality sign detection unit 14 may set a flag indicating that an abnormality sign of the sign level 1 has been detected. Further, the abnormality sign detection unit 14 may perform a measure according to the abnormality sign of the sign level 1. For example, the abnormality sign detection unit 14 outputs a message prompting the driver to check at a maintenance facility or the like by voice and / or display, or communicates with a service center via an in-vehicle communication device (not shown). Prior arrangement of the electronic component 20 may be carried out.

  In step 410, the abnormality sign detection unit 14 determines whether or not the data value of the electronic component 20 exceeds the predetermined threshold Th2 based on the data value acquired in step 404. The predetermined threshold Th2 is a value lower than the abnormality detection threshold, but is a value outside the initial normal range A. In the example shown in FIG. 6, b1 and b2 correspond to the predetermined threshold Th2. In this case, when the data value of the electronic component 20 is smaller than b1 or larger than b2, it is determined that the data value of the electronic component 20 exceeds the predetermined threshold Th2. If the data value of the electronic component 20 exceeds the predetermined threshold value Th2, the process proceeds to step 414. If the data value of the electronic component 20 does not exceed the predetermined threshold value Th2, the process proceeds to step 412.

  In step 412, the abnormality sign detection unit 14 determines that an abnormality sign of sign level 2 has been detected and ends the process. At this time, the abnormality sign detection unit 14 may set a flag indicating that an abnormality sign of a sign level 2 has been detected. Further, the abnormality sign detection unit 14 may perform a measure according to the abnormality sign of the sign level 2. This measure is a measure with a higher degree of alerting than the measure corresponding to the above-mentioned predictive level 1 abnormality sign. For example, the abnormality sign detection unit 14 may output a message prompting the driver to repair / replace the electronic component 20 within one month, for example, by voice and / or display.

  In step 414, the abnormality sign detection unit 14 determines that an abnormality sign of the sign level 3 has been detected and ends the process. At this time, the abnormality sign detection unit 14 may set a flag indicating that an abnormality sign of the sign level 3 has been detected. Further, the abnormality sign detection unit 14 may take measures according to the abnormality sign of the sign level 3. This measure is a measure that is more urgent than the measure according to the above-mentioned sign level 2 abnormal sign. For example, the abnormality sign detection unit 14 may output a message prompting the driver to immediately repair / replace the electronic component 20 by voice and / or display.

  FIG. 7 is a diagram schematically illustrating one aspect of a change in the abnormality detection threshold according to the detection result of the abnormality sign detection unit 14. FIG. 7 shows an example of the relationship between the data value of the electronic component 20 and each determination area. The data value of the electronic component 20 shown in FIG. 7 is a data value detected after the number of occurrences of the abnormal factor event exceeds the sign detection threshold (see step 404 in FIG. 4). Further, values a2, b2, and c2 shown in FIG. 7 are the same as the values shown in FIG. In this example, the data value of the electronic component 20 exceeds the value a2 in the portion of T1 and T2 shown in the figure, but does not exceed the value b2, so that it is determined as the predictive level 2.

  The abnormality detection unit 12 may change the abnormality detection threshold in a direction in which an abnormality of the electronic component 20 is easily detected when an abnormality sign is detected by the abnormality sign detection unit 14. Specifically, the abnormality detection unit 12 may change the abnormality detection threshold c2 (same for c1) as indicated by an arrow Y in FIG. In this case, the abnormality detection unit 12 may change the amount of change in the abnormality detection threshold c2 according to the sign level. Specifically, the abnormality detection unit 12 makes it easier for the abnormality of the electronic component 20 to be detected at the indication level 2 than at the indication level 1 and more than at the indication level 2. The abnormality detection threshold may be changed so that an abnormality of the electronic component 20 is more easily detected when the number is 3.

  FIG. 8 is a diagram illustrating an example of an update mode of the sign detection threshold (see FIG. 5) with respect to the number of occurrences of the abnormal factor event.

  The abnormality sign detection unit 14 may update (change) the sign detection threshold for the number of occurrences of the abnormality factor event. Specifically, the abnormal cause event occurrence count storage unit 16 updates the occurrence number of the abnormal cause event even after the occurrence number of the abnormal cause event exceeds the sign detection threshold, and the abnormal sign detection unit 14 After the number of occurrences of the causal event exceeds the sign detection threshold, the sign detection threshold may be updated (changed) in consideration of the number of occurrences of the abnormal cause event when an abnormality actually occurs. At this time, the abnormality sign detection unit 14 may update the sign detection threshold in a direction approaching the number of occurrences of the abnormality factor event when the abnormality detection unit 12 detects the abnormality. In this case, for example, after the replacement or repair of the electronic component 20, the abnormal sign detection process (FIG. 4) may be executed using the updated sign detection threshold. In the example shown in FIG. 8, a case where an abnormality is detected by the abnormality detection unit 12 at time t2 is shown. FIG. 8 shows the sign detection threshold value after update together with the sign detection threshold value before update. In this case, the updated sign detection threshold is set between the number of occurrences of the abnormal factor event at time t2 when the abnormality is detected by the abnormality detection unit 12 and the sign detection threshold before the update.

  FIG. 9 is a configuration diagram showing a main configuration of the failure sign diagnosis apparatus 2 according to one embodiment (second embodiment) of the present invention.

  The failure sign diagnosis apparatus 2 according to the present embodiment includes an in-vehicle device 120 and an information center 113. The in-vehicle device 120 may have the same configuration as the failure sign diagnosis apparatus 1 shown in FIG. 1, but the failure sign diagnosis process (the process of FIGS. 3 and 4) is executed by the external information center 113. . For this purpose, the failure sign diagnosis apparatus 2 includes a communication module that is connected to the network 114 via, for example, a base station 112 of a mobile phone network or a wireless LAN access point, and can communicate with the information center 113. This communication may be realized by, for example, telematics, for example, HTTP (Hyper Text Transfer Protocol) or FTP (File Transfer Protocol) which is upwardly compatible with a protocol such as TCP (Transmission Control Protocol) / IP (Internet Protocol). Etc. are used.

  The information center 113 includes a server 140 that is a form of a computer. The server 140 executes the failure sign diagnosis process (the process of FIGS. 3 and 4) as described in the first embodiment, for example, in non-real time. For this purpose, the in-vehicle device 120 transmits various types of detection data (data values of the electronic component 20, detection results of the abnormal factor event detection means 30, etc.) to the information center 113. This transmission may be performed, for example, at the end of each trip of the vehicle or periodically. The server 140 notifies the in-vehicle device 120 of the abnormality detection result or the abnormality sign detection result. Further, the information center 113 can also recommend repair / evacuation to the vehicle driver before failure occurs according to the detection result (predictive level) of various abnormal signs. In addition, by collecting various information in the information center 113, when an abnormal sign (sign) is generated in a plurality of vehicles, it is possible to focus on the point and feed it back to the next product.

  In the second embodiment, the server 140 of the information center 113 may execute only the abnormal sign detection process (FIG. 4) in the failure sign diagnosis process (the processes of FIGS. 3 and 4). Further, from the same viewpoint, the abnormal sign detection process (the processes of FIGS. 3 and 4) or the abnormal sign detection process (FIG. 4) thereof is cooperated by the information center 113 and the vehicle-mounted device 120 in an arbitrary cooperative manner. May be realized.

  According to the failure sign diagnosis apparatuses 1 and 2 of the present embodiment described above, the following excellent effects can be obtained.

  According to the failure sign diagnosis apparatuses 1 and 2 of the present embodiment, as described above, in addition to the data value directly related to the electronic component 20, the external factor that the electronic component 20 receives from the external environment (the number of occurrences of the abnormal factor event) is determined. By evaluating, the sign of abnormality of the electronic component 20 can be accurately and accurately detected.

  The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the above-described embodiments, and various modifications and substitutions can be made to the above-described embodiments without departing from the scope of the present invention. Can be added.

1, 2 Predictive failure diagnosis device 10 ECU
DESCRIPTION OF SYMBOLS 12 Abnormality detection part 14 Abnormality sign detection part 16 Abnormality factor event frequency | count storage part 20 Electronic component 30 Abnormality factor event detection means 112 Base station 113 Information center 114 Network 120 In-vehicle apparatus 140 Server

Claims (4)

An abnormality detection means for detecting an abnormality of the in-vehicle electronic component when a data value directly related to the in-vehicle electronic component exceeds a predetermined abnormality detection threshold;
An abnormality sign detection means,
The abnormality sign detection means is the number of occurrences of an abnormality factor event that may cause an abnormality of the in-vehicle electronic component under a situation where a data value directly related to the in-vehicle electronic component does not exceed the abnormality detection threshold, A failure sign diagnosis apparatus that detects a sign of abnormality of the in-vehicle electronic component when the number of occurrences of an abnormality factor event occurring in an external environment of the electronic component exceeds a predetermined sign detection threshold.   The abnormality sign detection means is based on the number of occurrences of the abnormality factor event when the data value directly related to the in-vehicle electronic component exceeds the abnormality detection threshold, but approaches the number of occurrences of the abnormality factor event. The failure sign diagnostic apparatus according to claim 1, wherein the sign detection threshold is updated within a range such that there is no such sign.   The abnormality detection unit changes the abnormality detection threshold in a direction in which an abnormality of the in-vehicle electronic component is easily detected when the abnormality in-vehicle electronic component is detected by the abnormality sign detection unit. Item 5. The failure sign diagnostic apparatus according to Item 1. An abnormality detection step of detecting an abnormality of the in-vehicle electronic component when a data value directly related to the in-vehicle electronic component exceeds a predetermined abnormality detection threshold;
An abnormal sign detection stage,
The abnormality sign detection step is the number of occurrences of an abnormality factor event that may cause an abnormality of the in-vehicle electronic component in a state in which no abnormality of the in-vehicle electronic component is detected in the abnormality detection step, and the in-vehicle electronic component A failure sign diagnosis method comprising detecting an abnormality sign of the in-vehicle electronic component when the number of occurrences of an abnormal factor event occurring in an external environment of the vehicle exceeds a predetermined sign detection threshold.

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