JP2018059464A - Monitoring system of damage state caused by temperature change and monitoring method of damage state caused by temperature change - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a monitoring system of a damage state caused by a temperature change which can sequentially grasp a damage degree accumulated by a change of a temperature continuously at a real time during drive while holding the continuity of data before and after a trip Dt(k) of the drive but not dispersedly at each trip of the drive, in a damaged product which receives damage by the change of the temperature of a piston or the like of an internal combustion engine, and a monitoring method of the damage state caused by the temperature change.SOLUTION: A temperature T of a piston is measured or calculated at a real time, and as data of a peak value Tp(i) used for sequentially extracting the peak value Tp(i) from time series data T(t) of the temperature T at the real time, data of a peak value Tp(j) which is obtained in a sampling period Dt(k+1) of the next continuous time series data T(t) is made to continue to data of the peak value Tp(i) at a finish of the sampling period Dt(k) of the last continuous time series data.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a damage state monitoring system based on a temperature change and a damage state monitoring method based on a temperature change for grasping a degree of damage accumulated due to a temperature change in a component such as a piston of an internal combustion engine.

  In an internal combustion engine such as a diesel engine provided in a vehicle, a piston is reciprocated by burning fuel to obtain a rotational force. Since this piston is repeatedly exposed to high-temperature combustion gas, a large heat load is repeatedly applied to the piston. Since the temperature change of the piston greatly affects the durability of the piston, a method for estimating the accumulated damage due to the change of the piston temperature is desired.

  In this regard, as for the exhaust purification catalyst, the temperature of the component that receives the heat load from the internal combustion engine is estimated, and the cycle count is performed based on the time series of the heat load applied to this component, and the heat load is determined. There has been proposed a fuel injection control device for an internal combustion engine that extracts the amplitude and its frequency and calculates the damage degree by the cumulative damage law based on the thermal load amplitude and its frequency (see, for example, Patent Document 1).

JP 2013-7289 A

  In this fuel injection control device for an internal combustion engine, the time series data of the thermal load is the estimated temperature during the trip for each trip, which is the period from the start of operation with the ignition switch ON to the end of operation with the ignition switch OFF. A record of the course is used to extract the heat load amplitude and frequency using the rainflow method (rain drip method). In this method, the frequency of the thermal load amplitude obtained from the time-series data for each trip is accumulated, and the damage degree is calculated using a cumulative damage law such as a corrected minor law or a minor law.

  In the above method, time-series data for each trip is used, and the change in the damage level after starting operation with the ignition switch ON is not calculated until the operation is ended with the ignition switch OFF. Therefore, there is a problem that the damage level cannot be estimated and cannot be dealt with in real time according to the extent of the damage.

  In addition, in the piston of an internal combustion engine mounted on a vehicle, there is a problem that the count of the temperature drop from the ignition switch OFF to the ignition switch ON greatly affects the damage amount, or the cycle count method. As with the rainflow method, the peak value data that has been counted and used is no longer necessary and is erased, but there is peak value data that will not be erased for a long time. There exists a problem that the estimation accuracy of quantity will fall.

  The object of the present invention is to maintain the continuity of the data before and after the driving trip, rather than discrete for each driving trip, in the damaged object that is damaged by the temperature change such as the piston of the internal combustion engine. It is an object of the present invention to provide a damage state monitoring system due to temperature change and a damage state monitoring method due to temperature change, which can successively grasp the degree of damage accumulated due to temperature change continuously in real time.

  In order to achieve the above object, the damage state monitoring system according to the temperature change of the present invention is a damage monitoring system due to temperature change that monitors the damage state due to the temperature change of the damaged object that accumulates damage in response to the temperature change. In addition to the temperature detection unit that measures or calculates the temperature of the damaged object in real time, and the peak value extraction unit that sequentially extracts the peak value from the time series data of the real-time temperature obtained by the temperature detection unit, the previous time The peak value obtained when the continuous time series data collection period is completed, or the peak value remaining without being erased by the cycle count for counting the amplitude value between the peak values, is stored, The peak value data obtained in the next continuous time-series data collection period is linked to the peak value data stored in the previous collection period. It is configured to include a peak value continuous unit to be.

  Further, the damage state monitoring method according to the present invention for achieving the above object is a damage monitoring method according to a temperature change that monitors a damage state due to a temperature change of a damaged object that accumulates damage in response to a temperature change. In the above, the temperature of the damaged object is measured or calculated in real time, and from the time series data of the real time temperature obtained by the temperature detection unit, as the peak value data used when sequentially extracting the peak value, The peak value obtained when the continuous time series data collection period ends, or the peak value remaining without being erased by the cycle count that counts the amplitude value between the peak values, is stored next time. The peak value data obtained during the continuous time-series data collection period are continuously connected to the peak value data stored during the previous collection period. A method of using the data of the peak value.

  According to the damage state monitoring system and temperature damage monitoring method according to the present invention, the damaged object that is damaged by the temperature change such as the piston of the internal combustion engine is not discrete for each trip of the operation. While maintaining the continuity of the data before and after the trip of driving, the degree of damage accumulated by the change of temperature can be grasped sequentially in real time during driving.

It is a figure which shows the structure of the damage monitoring system by the temperature change of embodiment which concerns on this invention. It is a figure which shows the calculation in the damage monitoring system by the temperature change of FIG. It is a figure which shows an example of the control flow of the damage monitoring method by the temperature change of embodiment which concerns on this invention. It is a figure which shows an example of the flow of a rainflow method. It is a figure which shows an example of the 1st temperature difference and 2nd temperature difference for description of the rainflow method It is a figure which shows the 1st step of an example of the calculation in the time series for description of the rainflow method. It is a figure which shows the 2nd step of an example of the calculation in the time series for description of the rainflow method. It is a figure which shows the 3rd step of an example of the calculation in the time series for description of the rainflow method. It is a figure which shows the 4th step of an example of the calculation in the time series for description of the rainflow method. It is a figure which shows the 5th step of an example of the calculation in the time series for description of the rainflow method. It is a figure which shows the 6th step of an example of the calculation in the time series for description of the rainflow method. It is a figure which shows the range and count value in an example of the calculation in the time series for description of the rainflow method.

  Hereinafter, a damage monitoring system according to a temperature change and a damage monitoring method due to a temperature change according to an embodiment of the present invention will be described with reference to the drawings. Here, the piston of the internal combustion engine is taken as an example of the damaged object that accumulates damage in response to a change in temperature. However, the present invention is not necessarily limited to the piston of the internal combustion engine. Other than the above, it may be a component or device that accumulates damage in response to a change in temperature.

  As shown in FIGS. 1 and 2, the damage monitoring system M10 due to temperature change according to the embodiment of the present invention is a damaged object that accumulates damage in response to temperature change (in this embodiment, a piston of an internal combustion engine). ) Is a system that monitors the damage caused by temperature changes. The damage monitoring system M10 due to temperature change includes a temperature detection unit M11, a peak value extraction unit M12, an amplitude count unit M13, a frequency distribution update unit M14, a damage amount estimation unit M15, an alarm generation unit M16, and the like. A value continuous part M17 is provided. In FIG. 2, the alarm generation part M16 and the peak value continuous part M17 are omitted, and the process up to the estimation of the total damage amount is shown.

  The temperature detector M11 is a means, function, or device for measuring or calculating the temperature of the piston in real time. The temperature T of the piston may directly measure the temperature T of the piston. It may be estimated based on the engine speed and the fuel injection amount with reference to, or may be estimated based on another experimental statistical model. Here, the piston temperature T is obtained by applying a known technique.

  Further, the peak value extraction unit M12 extracts means and functions for extracting the peak value (mountain valley point) Tp (i) from the time-series data T (t) of the real-time piston temperature T obtained by the temperature detection unit M11. Device. When the peak value Tp (i) is extracted from the time series data T (t), the time series T (t) of the piston temperature T obtained by the temperature detector M11 is not necessarily a smooth temperature change. Therefore, it is preferable to remove a high-frequency component by passing it through a low-pass filter or the like.

  Then, as a method of extracting the peak value Tp (i) from the time series data T (t), it is determined whether or not it has changed from decrease to increase or increase to decrease by comparing the data of the three most recent points. If it does not turn, it is assumed that there is no peak value Tp (i), and if it turns, the value at the center of the three nearest points is set as the peak value Tp (i).

  The amplitude count unit M13 includes the peak value Tp (i) extracted by the peak value extraction unit M12, one or a plurality of peak values Tp (i-1) extracted immediately before, and the peak value Tp (i-2). ) Between the amplitude value Ti and the count value Ci. When the rainflow method is employed as the cycle count method for calculating the amplitude value Ti and the count value Ci, It is calculated with the flow like this.

  Note that this cycle count method is a method that is generally used for estimating the degree of fatigue from time series data such as stress and strain under a varying load, and is a well-known method. As this cycle count method, a peak count method, a level crossing count method, a mean crossing count method, a range count method, a range pair method, and the like are well known in addition to the rainflow method described below.

  Here, the rain flow method, which is a standard cycle count method for fatigue life prediction, which can sufficiently consider the correspondence with the hysteresis curve of the material, will be briefly described with reference to the control flow shown in FIG. In this control flow, the continuity of the peak value Tp (i) is maintained in the start process in step S10. In the calculation in the rainflow method, the peak value Tp (i) is extracted from the time series data T (t), as shown in FIG. Assuming that the range immediately before X is Y and the start point is S, as shown in FIG. 4, there is data (peak value Tp (i)) that can be read as the next peak or valley value in step S11. If there is no data that can be read, the process goes to step S19. In step S19, the ranges X and Y that have not yet been counted are counted as 0.5 cycles (the count value Ci is set to “0.5” and output). Since this step S19 is a process when there is no data to be read, after step S19 ends, the process goes to step S20 to perform the final process.

  If there is data that can be read in step S11, it is read in step S12. In the next step S13, it is determined whether or not the number Np of the peak values Tp (i) read in step S12 is less than 3, and if it is less than 3, the process returns to step S11. If it is determined in step S13 that there are three or more, in step S14, the first three points of the first point and the second point are used as shown in FIG. A temperature difference Y and a second temperature difference X between the second point and the third point are obtained. In the next step S15, the absolute value of the second temperature difference X is compared with the absolute value of the first temperature difference Y. If the absolute value of the second temperature difference X is less than the absolute value of the first temperature difference Y, Return to step S11. If the absolute value of the second temperature difference X is greater than or equal to the absolute value of the first temperature difference Y, the process goes to step S16.

  If the start point S is not included in the first temperature difference Y in step S16, the process goes to step S17, and the first temperature difference Y is counted as one cycle (the count value Ci is set to “1.0” and output). . Then, the data of the peaks and valleys of Y are deleted, and the process goes to step S13. If the starting point S is included in the first temperature difference Y in step S16, the process goes to step S18.

  In step S18, Y is counted as 0.5 cycle (the count value Ci is set to “0.5” and output), and the first point (mountain or valley) of Y is erased. At the same time, the start point S is moved to the second position of Y, and the process goes to step S13.

  When the operation of the internal combustion engine stops, an interruption is made to go to the end process of step S20, and the peak value Tp (i) data obtained at the end of the end process is stored. This termination process is performed to return to the advanced control flow, and the process is terminated together with the advanced control flow.

  An example of time-series calculation for explaining the rainflow method is shown in FIGS. 6 to 11, and the resulting range and count value are shown in FIG. The data in FIG. 6 shows that peak values Pa to Pi have already been obtained for easy understanding of the explanation, but in the present invention, peak values Pa to Pi are sequentially added in real time. .

  In the first stage of FIG. 6, S = Pa, Y = Pa−Pb, X = Pb−Pc, | X |> | Y |, and Y contains S, so | Y | = | Pa −Pb | is set to a count value of 0.5, and Pa is deleted. Further, S = Pb. This is the second stage in FIG.

  In the second stage of FIG. 7, Y = Pb-Pc, X = Pc-Pd, | X |> | Y |, and Y contains S, so | Y | = | Pb-Pc | The count value is set to 0.5 and Pb is erased. Further, S = Pc. This is the third stage in FIG.

  In the third stage of FIG. 8, Y = Pc-Pd, X = Pd-Pe, | X | <| Y |, and then proceed, Y = Pd-Pe, X = Pe-Pf, | X | <│Y | Here, since Y = Pe−Pf and X = Pf−Pg and | X |> | Y |, | Y | = | Pe−Pf | is set to a count value of 1.0, and Pe and Pf are erased. (See FIG. 9). Note that Pc-Pd and Pf-Pg.

  In the fourth stage of FIG. 9, Y = Pe−Pf, X = Pd−Pg, | X |> | Y |, and Y includes S, so | Y | = | Pc−Pd | .5 and erase Pc. Further, S = Pd.

  In the fifth stage of FIG. 10, Y = Pd−Pg, X = Pg−Ph, | X | <| Y |, and then proceed, Y = Pg−Ph, X = Ph−Pi, and | X | Since <| Y | is the end of data, | Pd-Pg |, | Pg-Ph |, and | Ph-Pi | are each set to a count value of 0.5. By the above operation, the range and the count value in FIG. 12 are obtained.

  Then, the frequency distribution updating unit M14 assigns the amplitude value Ti (= X, Y) calculated by the amplitude counting unit M13 to a preset amplitude range, and the count value Ci (“ 0.5 ”or“ 1 ”), a means, function, or device that updates the frequency distribution of the amplitude by increasing the frequency number Cn of the amplitude range.

  The damage amount estimation unit M15 is a means, function, or device that estimates the total damage amount D of the piston based on the frequency distribution updated by the frequency distribution update unit M14. As a method of estimating the total damage amount D from the frequency distribution (Tn, Cn), a well-known cumulative fatigue damage law can be used. Normally, this cumulative fatigue damage law is used when evaluating the fatigue life of a member showing a stress waveform. Here, a time-series waveform of temperature T (t) is adopted instead of the stress waveform, The degree of damage at the time of estimation is considered as a total damage amount D. A minor rule that ignores the stress amplitude below the fatigue limit using the SN curve or a modified minor rule that is modified so that the stress amplitude below the fatigue limit is also counted as damage can be used.

  An example of the estimation of the total damage amount D in the damage amount estimation unit M15 is as follows. In the amplitude frequency distribution (Tn, Cn), the median value of the temperature n amplitude segment n is Tn, and the median value Tn. Is the limit frequency number at which the damage occurs repeatedly is Cnmax, and the actual frequency number (count) is Cn, the ratio (Cn / Cnmax) between the actual frequency number Cn and the limit frequency number Cnmax is the amplitude. When the total damage amount D exceeds 1.0 with the total value D (= Σ (Cn / Cnmax): n = 1 to N) integrated in the categories (n = 1 to N) Suppose that damage occurs due to damage. In this case, the limit frequency number Cnmax is set based on the results of experiments performed in advance.

  The alarm generation unit M16 is a means, function, or device that prompts replacement before the total damage amount D calculated by the damage amount estimation unit M15 reaches 1.0. When an alarm amount Dc set to a value smaller than “1.0” is exceeded by an experimental result or the like in advance, an optical alarm such as lighting or flashing of an alarm lamp or an alarm by a buzzer or a voice message is generated. To do. This prompts the user to perform inspections, maintenance and replacement of piston parts in the factory.

  The peak value continuous part M17, which is a feature of the present invention, has a peak value Tp (i) obtained when the previous continuous time series data T (t) collection period Dt (k) ends. Alternatively, the peak value Tp (i) remaining without being erased by the cycle count for counting the amplitude value Ti (= X, Y) between the peak values Tp (i) is stored, and the next continuous time series is stored. Means and functions for making the data of the peak value Tp (j) obtained in the collection period Dt (k + 1) of the data T (t) continuous with the data of the peak value Tp (i) stored in the previous collection period Dt (k) And equipment.

  Further, as illustrated here, when the object to be damaged is a part such as a piston of an internal combustion engine mounted on a vehicle, the period between the ignition switch ON and the ignition switch OFF is the continuous time. This is the collection period Dt (k) of the series data T (t). The data when the ignition switch key is OFF is handled as the data immediately before the ignition switch key is ON. That is, the temperature change before and after the ignition switch key OFF / ON is processed as a continuous one.

  As a result, in measuring the life of the piston temperature, the transition from a high temperature state when the engine is stopped to a low temperature state when the engine is started has a significant effect on the estimation of damage amount. ) Will be able to reflect the large damage caused by the temperature drop from. That is, in the rainflow method, the data at the end point of the time series T (t) is processed according to a predetermined rule, but this can be avoided and the continuity of the time series T (t) can be maintained.

  In other words, when the ignition switch key is OFF, the data at the time of the ignition switch key OFF is held without performing the end processing in the cycle counting method such as the rainflow calculation method, and is held at the next ON of the ignition switch key. The data when the ignition switch key is OFF is treated as the data immediately before the data detected first when the ignition switch key is ON, and the cycle count is performed with this continuous data by a rainflow calculation method or the like.

  And the memory | storage part which memorize | stores time series data T (t) and peak value Tp (i) is comprised by the ring buffer which deletes old data sequentially with the input of new data. That is, the data storage unit in the temperature detection unit M11, the peak value extraction unit M12, and the amplitude count unit M13 is configured by a ring buffer so that old data is sequentially deleted and new data is continuously stored. As a result, the total damage amount D can be continuously calculated by continuously counting the cycles with a relatively small storage capacity.

  Further, the speed of calculation of the damage amount estimation unit M15 is configured to be faster than the speed of calculation of the peak value extraction unit M12. In other words, the peak value can be obtained by setting the time from the data input in the damage amount estimation unit M15 to the output of the calculation result shorter than the time from the data input in the peak value extraction unit M12 to the output of the calculation result. Data from the extraction unit M12 is not kept waiting or stayed at the damage amount estimation unit M15, and the damage amount estimation in real time can be performed smoothly.

  Next, the damage monitoring method according to the temperature change of the embodiment of the present invention will be described. This damage monitoring method due to temperature change is to monitor a damage state due to temperature change of a damaged object (here, a piston) that accumulates damage in response to temperature change.

  This damage monitoring method due to temperature change is performed in a control flow as shown in FIG. The control flow of FIG. 3 is called from the advanced control flow when the internal combustion engine starts operation, and is between the peak value Tp (i) data and the cycle count count value Ci sampling period D (k). When the operation of the internal combustion engine is stopped, the control is interrupted by interruption, the control flow returns to the advanced control flow, and the control flow is terminated together with the advanced control flow.

  When the control flow of FIG. 3 starts, the peak value Tp (m) stored in the previous sampling period D (k−1) is converted into the current continuous time series data T ( It is connected as data before the data of the peak value Tp (i) obtained in the sampling period Dt (k) of t). That is, the data obtained in the current sampling period Dt (k) is made continuous with the data of the peak value Tp (i) stored in the previous sampling period Dt (k−1).

  In the next step S1, the temperature detector M11 measures or calculates the piston temperature T in real time. In the next step S2, the peak value extraction unit M12 extracts the peak value Tp (i) from the time series data T (t) of the real-time temperature T obtained by the temperature detection unit M11.

  In the next step S3, the peak value Tp (i) extracted by the peak value extraction unit M12 and one or a plurality of peak values Tp (i−1), Tp extracted immediately before in the amplitude count unit M13. An amplitude value (X, Y) and a count value Ci (“0.5” or “1.0”) between (i−2) are calculated.

  In the next step S4, the frequency distribution update unit M14 assigns the amplitude value (X, Y) calculated by the amplitude count unit M13 to a preset amplitude range, and the amplitude count unit M13 calculates the amplitude value. With the count value Ci (“0.5” or “1.0”), the frequency number distribution Cn of the amplitude range is increased to update the amplitude frequency distribution.

  In the next step S5, the damage amount estimation unit M15 estimates the total damage amount D of the piston based on the frequency distribution updated by the frequency distribution update unit M14. In the next step S6, the total damage amount D is sent to the alarm generation unit M16. The alarm generation unit M16 generates an alarm only when the total damage amount D is larger than the alarm amount Dc as compared with the alarm amount Dc.

  Then, after step S0 is performed, steps S1 to S6 are repeated and executed, and when the internal combustion engine stops operating, an interruption is made to go to the end process of step S7. In this end process, the peak value continuous portion M17 Thus, the peak value Tp (i) obtained when the sampling period Dt (k) of the current continuous time series data T (t) ends, or the amplitude value Ti between the peak values Tp (i). The peak value Tp (i) remaining without being erased by the cycle count for counting (= X, Y) is stored. This necessary end processing is performed to return to the advanced control flow, and the process ends together with the advanced control flow.

  Thereby, the following method can be implemented. That is, in this damage monitoring method due to temperature change, the temperature detection unit M11 measures or calculates the piston temperature T in real time, and the peak value extraction unit M12 obtains the time series of the real-time temperature T obtained by the temperature detection unit M11. A peak value Tp (i) is sequentially extracted from the data T (t). As the peak value Tp (i) used in this extraction, the peak value Tp (i) obtained when the last continuous time series data T (t) collection period Dt (k) ends. Or the peak value Tp (i) remaining without being erased by the cycle count for counting the amplitude value Ti between the peak values Tp (i), and the next continuous time series data T (t) The peak value data obtained by continuing the peak value Tp (j) data obtained in the sampling period Dt (k + 1) of the peak value Tp (i) stored in the previous sampling period can be used.

  Then, the amplitude count unit M13 extracts the peak value Tp (i) extracted by the peak value extraction unit M12, one or more peak values Tp (i−1) extracted immediately before, and the peak value Tp (i−2). ) Between the amplitude value (X, Y) and the count value (“0.5” or “1.0”), and the frequency distribution update unit M14 calculates the amplitude value ( X, Y) is assigned to a preset amplitude range, and the count value (“0.5” or “1.0”) calculated by the amplitude count unit M13 is used to set the frequency number Cn of the amplitude range. The frequency distribution of the amplitude is updated and the damage amount estimation unit M15 can estimate the total damage amount D of the piston based on the frequency distribution updated by the frequency distribution update unit M14.

  It should be noted that the damage state monitoring system 1 due to temperature change has an amplitude value (X, Y), a peak value Tp (i) calculated by the amplitude count unit M13, instead of the frequency distribution update unit M14 and the damage amount estimation unit M15, Using the count value Ci, the damage amount Dm is sequentially obtained by linear interpolation from the damage map having the amplitude values (X, Y) and the peak value Tp (i) as arguments, and this damage amount Dm is added up and this integration is performed. A direct damage amount estimation unit that estimates the total damage amount D of the damaged object by setting the value ΣDm as the total damage amount D may be provided.

  In the damage state monitoring method by temperature change using this direct damage amount estimation unit, instead of steps S4 and S5 in FIG. 3, the amplitude value (X, Y) calculated by the amplitude count unit M13, the peak value Tp ( i) Using the count value Ci, the damage amount Dm is sequentially obtained by linear interpolation from the damage map using the amplitude value (X, Y) and the peak value Tp (i) as arguments, and the damage amount Dm is integrated. By taking the integrated value ΣDm as the total damage amount D, the total damage amount D of the damaged object is estimated.

  Therefore, according to the damage state monitoring system and the damage state monitoring method due to temperature change of the present invention of the above-described embodiment, the operation is performed on the damaged object that is damaged by the change of the temperature T such as the piston of the internal combustion engine. Total damage accumulated by changes in temperature T continuously in real time during operation while maintaining the continuity of data before and after operation trip Dt (k), not discrete for each trip Dt (k) The amount D can be grasped sequentially.

Ci count value Cn Frequency number Cnmax Limit frequency number D Total damage amount (integrated value)
Dc Alarm amount Dt (k) Collection period M10 Damage monitoring system M11 due to temperature change Temperature detection unit M12 Peak value extraction unit M13 Amplitude count unit M14 Frequency distribution update unit M15 Damage amount estimation unit M16 Alarm generation unit M17 Peak value continuation unit Np Peak Number of values S Starting point T Piston temperature T (t) Piston temperature time series data Ti Amplitude value Tn Median values of temperature amplitude divisions Tp (i), Tp (i-1), Tp (i-2) ) Peak value X range (amplitude width: second temperature difference)
Y range (Amplitude width: 1st temperature difference)

Claims (7)

In the damage monitoring system by temperature change that monitors the damage state due to temperature change of the damaged object that accumulates damage due to temperature change,
A temperature detector that measures or calculates the temperature of the damaged object in real time;
In addition to the peak value extraction unit that sequentially extracts peak values from the real-time temperature time-series data obtained by this temperature detection unit, it is obtained when the previous continuous time-series data collection period ends. Data of peak values obtained in the next continuous time-series data collection period by memorizing the peak values remaining without being erased by the cycle count that counts the current peak values or the amplitude values between the peak values. A damage state monitoring system due to temperature change, characterized in that a peak value continuation unit is provided for continuing the peak value data stored in the previous collection period. An amplitude count unit that calculates an amplitude value and a count value between the peak value extracted by the peak value extraction unit and one or more peak values extracted immediately before,
The amplitude value calculated by the amplitude count unit is assigned to a preset amplitude range, and the frequency value of the amplitude range is increased by the count value calculated by the amplitude count unit to update the frequency distribution of the amplitude. A frequency distribution update unit
The damage state due to a temperature change according to claim 1, further comprising a damage amount estimation unit that estimates a total damage amount of the damaged object based on the frequency distribution updated by the frequency distribution update unit. Monitoring system. An amplitude count unit that calculates an amplitude value and a count value between the peak value extracted by the peak value extraction unit and one or more peak values extracted immediately before,
Using the amplitude value, peak value, and count value calculated by the amplitude count unit, the damage amount is sequentially obtained from the damage map using the amplitude value and the peak value as arguments, and this damage amount is integrated. The damage state monitoring system according to claim 1, further comprising a direct damage amount estimation unit that estimates a total damage amount of the damaged object by using the integrated value as a total damage amount.   The damage object is a part of an internal combustion engine mounted on a vehicle, and the continuous time-series data collection period is a period between the ignition switch ON and the ignition switch OFF. The damage state monitoring system by the temperature change of any one of 1-3.   The storage portion for storing the time series data, the peak value, and the amplitude value is constituted by a ring buffer that sequentially deletes old data as new data is input. 5. The damage state monitoring system according to any one of items 4 to 4. The damage state monitoring system according to claim 2, wherein the peak value extraction unit, the amplitude count unit, and the frequency distribution update unit perform calculations according to a rainflow calculation method. In the damage monitoring method by temperature change to monitor the damage state due to temperature change of the damaged object that accumulates damage due to temperature change,
The temperature of the damaged object is measured or calculated in real time, and from the time series data of the real time temperature obtained by the temperature detection unit, as the peak value data used when sequentially extracting the peak value, the previous continuous Memorize the peak value obtained when the time series data collection period ends, or the peak value remaining without being erased by the cycle count that counts the amplitude value between the peak values. Damage state monitoring method according to temperature change, characterized in that peak value data obtained in a typical time series data collection period is used continuously with peak value data stored in the previous collection period .

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