CN114754899B - Fault diagnosis method and system for temperature sensor of ship main engine scavenging box - Google Patents
Fault diagnosis method and system for temperature sensor of ship main engine scavenging box Download PDFInfo
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- 230000002000 scavenging effect Effects 0.000 title claims abstract description 171
- 238000003745 diagnosis Methods 0.000 title claims abstract description 57
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 50
- 230000005856 abnormality Effects 0.000 claims abstract description 21
- 230000008030 elimination Effects 0.000 claims description 15
- 238000003379 elimination reaction Methods 0.000 claims description 15
- 238000010926 purge Methods 0.000 claims 1
- 238000004891 communication Methods 0.000 description 14
- 238000012545 processing Methods 0.000 description 5
- 238000012216 screening Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 238000010408 sweeping Methods 0.000 description 3
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K15/00—Testing or calibrating of thermometers
- G01K15/007—Testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/56—Testing of electric apparatus
Abstract
The invention provides a fault diagnosis method and a fault diagnosis system for a temperature sensor of a scavenging box of a ship host, wherein the method comprises a key parameter calculation step, a sensor abnormality identification step and an abnormal scavenging box temperature sensor fault diagnosis step, wherein the temperature signal acquired by the temperature sensor of the scavenging box of the ship host is calculated, the key parameter of the temperature signal is combined to carry out fault diagnosis on the abnormal signal to judge whether the sensor has a fault, and whether the fault occurs in the current time period is analyzed through secondary calculation fault diagnosis of adjacent time periods, so that the fault sensor can be quickly and accurately found out, and a crew is timely reminded of quick overhaul.
Description
Technical Field
The invention relates to the technical field of temperature signal detection, in particular to a fault diagnosis method and system for a temperature sensor of a ship main engine scavenging box.
Background
The daily operating costs of the ship are very high and the effective operating time determines the level of profits of the shipper. Marine diesel engines are the power plant for the core of a ship, which once a problem arises, will seriously affect the normal operation of the ship. The temperature signal of the main engine scavenging box of the ship is an extremely important index in the mechanical failure of the marine diesel engine, and the main engine scavenging box temperature sensor of the ship is important equipment for monitoring whether each main engine scavenging box normally operates, so that the main engine scavenging box temperature sensor has important significance for rapidly diagnosing and eliminating whether the main engine scavenging box temperature sensor fails. The intelligent monitoring system can help a shipman to timely know whether the main machine air sweeping box is in normal operation or not, and can judge whether the temperature sensor of the main machine air sweeping box is in fault or not through a plurality of related sensors, so that the shipman is timely reminded of rapidly overhauling the temperature sensor of the main machine air sweeping box.
The existing method for diagnosing the faults of the temperature sensor of the main engine scavenging box is low in diagnosis speed and accuracy, and cannot meet the requirements of diagnosing the faults of the sensor of the ship main engine scavenging box, so that a method and a system for diagnosing the faults of the temperature sensor of the main engine scavenging box are needed.
Disclosure of Invention
In order to solve the problems of low accuracy, low efficiency and the like in the conventional fault diagnosis of a main engine air scavenging box temperature sensor, the invention provides a fault diagnosis method of a ship main engine air scavenging box temperature sensor. The invention also relates to a fault diagnosis system of the temperature sensor of the main engine scavenging box.
The technical scheme of the invention is as follows:
the fault diagnosis method for the temperature sensor of the ship main engine scavenging box is characterized by comprising the following steps of:
and a key parameter calculation step: acquiring temperature signals of a plurality of scavenging boxes in a current time period through a temperature sensor of a scavenging box of a ship main engine, and calculating key parameters of the temperature signals of each scavenging box according to the number of acquisition points of the temperature signals to obtain a first key parameter value;
sensor abnormality recognition step: respectively eliminating the highest value and the lowest value of the same parameters in the first key parameter values corresponding to each scavenging box, calculating the average value of the first key parameter values corresponding to the residual scavenging boxes after elimination to obtain a first average value, comparing the first key parameter values corresponding to each scavenging box after elimination with the first average value calculated correspondingly, and judging that the scavenging box temperature sensor is abnormal if the comparison error of the first key parameter value corresponding to a scavenging box and the first average value exceeds a preset range;
and (3) fault diagnosis of the abnormal scavenging air box temperature sensor: after the temperature sensor of the scavenging box is abnormal, calculating key parameters of temperature signals acquired by the temperature sensors of each scavenging box in the previous time period with the same duration as the current time period according to the number of acquisition points of the temperature signals to obtain second key parameter values, respectively eliminating the highest value and the lowest value of the same parameters in the second key parameter values corresponding to each scavenging box, calculating the average value of the second key parameter values corresponding to the residual scavenging box after elimination to obtain a second average value, comparing the second key parameter values corresponding to the abnormal scavenging box temperature sensor judged in the sensor abnormality identification step with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error does not exceed the preset range.
Preferably, before the key parameter calculating step, a sensor communication fault diagnosing step is further included:
s1: acquiring the number of acquisition points of temperature signals of a plurality of scavenging boxes in the current time period through a temperature sensor of a scavenging box of a ship main engine, calculating the frequency of each temperature signal according to the number of acquisition points of the temperature signals, and calculating the average frequency of the temperature signals acquired by the temperature sensor corresponding to each scavenging box according to the frequency;
s2: sorting the average frequencies of the temperature signals acquired by the temperature sensors of each scavenging air box, removing the temperature signals with the lowest frequency and the highest frequency, and selecting the highest frequency and the lowest frequency from the removed temperature information numbers;
s3: calculating the time difference of each temperature signal acquisition at the current moment according to the number of the acquisition points of the temperature signals, obtaining the frequency of each temperature signal acquisition at the current moment according to the calculated average frequency, judging whether the temperature signal acquired by a certain scavenging air box temperature sensor is abnormal or not according to the comparison result of the frequency of each temperature signal acquisition at the current moment and the highest frequency and the lowest frequency, and judging that the communication of the scavenging air box temperature sensor is abnormal if the frequency of each temperature signal acquisition at the current moment is smaller than the preset lowest frequency threshold or larger than the preset highest frequency threshold.
Preferably, the key parameters include temperature mean, standard deviation, peak value and pulse index.
Preferably, in the step S3 of diagnosing the sensor communication fault, if the frequency of each temperature signal acquisition at the current moment is less than half of the lowest frequency or greater than twice of the highest frequency, it is determined that the communication of the scavenging air box temperature sensor is abnormal.
Preferably, in the step of identifying the sensor abnormality, if the comparison error between the first key parameter value corresponding to a certain scavenging box and the first average value exceeds 20%, judging that the scavenging box temperature sensor is abnormal;
in the fault diagnosis step of the abnormal scavenging box temperature sensor, comparing a second key parameter value corresponding to the abnormal scavenging box temperature sensor judged in the sensor abnormality identification step with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error is not more than 20%.
A fault diagnosis system of a temperature sensor of a scavenging box of a ship host is characterized by comprising a key parameter calculation module, a sensor abnormality identification module and an abnormal scavenging box temperature sensor fault diagnosis module which are connected in sequence,
the key parameter calculation module: acquiring temperature signals of a plurality of scavenging boxes in a current time period through a temperature sensor of a scavenging box of a ship main engine, and calculating key parameters of the temperature signals of each scavenging box according to the number of acquisition points of the temperature signals to obtain first key parameters;
sensor abnormality recognition module: respectively eliminating the highest value and the lowest value of the same parameters in the first key parameter values corresponding to each scavenging box, calculating the average value of the first key parameter values corresponding to the residual scavenging boxes after elimination to obtain a first average value, comparing the first key parameter values corresponding to each scavenging box after elimination with the first average value calculated correspondingly, and judging that the scavenging box temperature sensor is abnormal if the comparison error of the first key parameter value corresponding to a scavenging box and the first average value exceeds a preset range;
the abnormal scavenging air box temperature sensor fault diagnosis module comprises: after the temperature sensor of the scavenging box is abnormal, calculating key parameters of temperature signals acquired by the temperature sensors of each scavenging box in the previous time period with the same duration as the current time period according to the number of acquisition points of the temperature signals to obtain second key parameter values, respectively eliminating the highest value and the lowest value of the same parameters in the second key parameter values corresponding to each scavenging box, calculating the average value of the second key parameter values corresponding to the residual scavenging box after elimination to obtain a second average value, comparing the second key parameter values corresponding to the abnormal scavenging box temperature sensor judged by the sensor abnormality recognition module with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error does not exceed the preset range.
Preferably, before the key parameter calculation module, the system further comprises a sensor communication fault diagnosis module connected with the key parameter calculation module, wherein the sensor communication fault diagnosis module comprises an average frequency calculation module, a frequency screening module and a diagnosis processing module which are sequentially connected,
the average frequency calculation module is used for acquiring the number of the acquisition points of the temperature signals of the plurality of scavenging boxes in the current time period through the temperature sensors of the scavenging boxes of the ship main engine, calculating the frequency of each temperature signal according to the number of the acquisition points of the temperature signals, and calculating the average frequency of the temperature signals acquired by the temperature sensors corresponding to each scavenging box according to the frequency;
the frequency screening module sorts the average frequency of the temperature signals acquired by the temperature sensors of each scavenging box, eliminates the temperature signals with the lowest frequency and the highest frequency, and selects the highest frequency and the lowest frequency from the eliminated temperature information numbers;
the diagnosis processing module calculates the time difference of each temperature signal acquisition at the current moment according to the number of the acquisition points of the temperature signals, obtains the frequency of each temperature signal acquisition at the current moment according to the calculated average frequency, judges whether the temperature signal acquired by a certain scavenging air box temperature sensor is abnormal or not according to the comparison result of the frequency of each temperature signal acquisition at the current moment and the highest frequency and the lowest frequency, and judges that the scavenging air box temperature sensor is abnormal when the frequency of each temperature signal acquisition at the current moment is smaller than the preset lowest frequency threshold or larger than the preset highest frequency threshold.
Preferably, the key parameters include temperature mean, standard deviation, peak value and pulse index.
Preferably, in the diagnosis processing module of the sensor communication fault diagnosis module, if the frequency of each temperature signal acquisition at the current moment is less than half of the lowest frequency or greater than twice of the highest frequency, the communication of the scavenging air box temperature sensor is judged to be abnormal.
Preferably, in the sensor abnormality recognition module and the abnormal scavenging air box temperature sensor fault diagnosis module, the preset range of the comparison error is +/-20%.
The beneficial effects of the invention are as follows:
according to the fault diagnosis method for the temperature sensor of the ship main engine scavenging box, provided by the invention, the temperature signals collected by the temperature sensor of the ship main engine scavenging box are calculated, the highest and lowest temperature signals in the temperature signals are removed, the accuracy of monitoring the temperature sensor signals is improved, fault false alarms are reduced, meanwhile, fault diagnosis is carried out on abnormal signals by combining key parameters of the temperature signals to judge whether the sensor has faults, and whether the fault occurs in the current time period is analyzed through secondary calculation fault diagnosis of adjacent time periods, so that the fault sensor can be quickly and accurately found out, and fault feedback is provided for a ship in time.
The invention also relates to a fault diagnosis system of the ship main engine scavenging air box temperature sensor, which corresponds to the fault diagnosis method of the ship main engine scavenging air box temperature sensor, and can be understood as a system for realizing the fault diagnosis method of the ship main engine scavenging air box temperature sensor.
Drawings
FIG. 1 is a flow chart of a fault diagnosis method of a ship main engine scavenging box temperature sensor.
FIG. 2 is a preferred flow chart of the method of fault diagnosis of the marine main engine scavenging tank temperature sensor of the present invention.
Fig. 3 is a schematic diagram of a preferred structure of the failure diagnosis system of the temperature sensor of the main engine scavenging tank of the ship.
Detailed Description
The present invention will be described below with reference to the accompanying drawings.
The invention relates to a fault diagnosis method for a temperature sensor of a scavenging box of a ship host, which is shown in a flow chart in fig. 1 and sequentially comprises the following steps:
and a sensor communication fault diagnosis step: identifying whether a communication failure occurs in a temperature sensor corresponding to one of the N scavenging tanks, which is a preferred step, specifically, as shown in a preferred flowchart of fig. 2, first, acquiring temperature signals (NN 1 ,NN 2 ,NN 3 ，...，NN N ) According to the number of the acquisition points of the temperature signals, the frequency of each temperature signal is calculated, and then the average period (T) of the temperature signals acquired by the temperature sensors corresponding to each scavenging air box is calculated 1 ,T 2 ,T 3 ，...，T N ) Average frequency (F) 1 ,F 2 ,F 3 ，...，F N ) The method comprises the steps of carrying out a first treatment on the surface of the The average frequency (F 1 ,F 2 ,F 3 ，...，F N ) Sorting according to the height, removing the temperature signals with the lowest frequency and the highest frequency, selecting the highest frequency a and the lowest frequency b from the removed temperature information signals, and forming a normal frequency range [ b, a ]]The method comprises the steps of carrying out a first treatment on the surface of the Finally, calculating the time difference (t 1 ,t 2 ,t 3 ，...，t N ) For example, 100 temperature signals are acquired by the temperature sensor of the No. 1 scavenging air box in the current hour, and the temperature signal acquired at the current moment is defined as the 101 th temperature signal, namely t 1 Is the time difference between the 101 st temperature signal and the 100 th temperature signal.
And then based on the calculated average frequency (F 1 ,F 2 ,F 3 ，...，F N ) Conversion to obtainFrequency f of collecting temperature signals by N scavenging air box temperature sensors at current moment 1 ,f 2 ,f 3 ，...，f N Judging whether the temperature signal collected by a certain scavenging air box temperature sensor is abnormal or not according to the comparison result of the frequency of the temperature signals collected by N scavenging air box temperature sensors at the current moment and the highest frequency a and the lowest frequency b, if the frequency of the temperature signal collected by a certain scavenging air box temperature sensor at the current moment is smaller than a preset lowest frequency threshold value (preferably half of the lowest frequency) or larger than a preset highest frequency threshold value (preferably twice of the highest frequency), namely f i <b/2 or f i >And 2a, judging that the communication of the temperature sensor of the ith scavenging air box is abnormal, and carrying out communication fault alarm of the temperature sensor.
And a key parameter calculation step: under the condition that the temperature sensors of all the scavenging air boxes are communicated normally, collecting temperature signals of a plurality of scavenging air boxes in the current time period M1 (for example, the current hour) through the temperature sensors, calculating key parameters of the temperature signals of all scavenging air boxes collected by the temperature sensors according to the number of the collected points of the temperature signals to obtain first key parameter values, wherein the key parameters preferably comprise a temperature average value, a standard deviation, a peak value and a pulse index, namely, calculating the temperature average value of all the temperature signalsStandard deviation X SD Peak value X P Pulse index I;
wherein the average temperatureThe calculation is performed according to the following formula:
in the formula, n represents the number of temperature signals acquired by a temperature sensor in M1; x is X i Indicating the i-th temperature value.
Standard deviation X SD The calculation is performed according to the following formula:
in the formula, n represents the number of temperature signals acquired by a temperature sensor in M1; x is X i Representing the i-th temperature signal.
X is to be 1 ，X 2 ，...，X n Divided into m segments (m<n), find the respective peak X under m segments Pj (j＝1～m),
X Pj ＝Max(abs(X)) (3)
In the above formula, X represents the temperature signal at the j-th segment.
Peak value X P The calculation is performed according to the following formula:
the pulse index I is calculated according to the following formula:
sensor abnormality recognition step: identifying abnormal temperature sensor in current time period M1, firstly, eliminating average value of temperatures in N scavenging air box temperature signalsStandard deviation X SD And the highest value and the lowest value in the pulse index I, and calculating the temperature average value +.>Standard deviation X SD And the average value of the pulse index I to obtain a first average value, namely the temperature average value of N-2 scavenging air box temperature signals after the average>Standard deviation X SDN And pulse index I N ；
Wherein the average temperatureThe calculation is performed according to the following formula:
standard deviation X SDN The calculation is performed according to the following formula:
pulse index I N The calculation is performed according to the following formula:
comparing the first key parameter value corresponding to each scavenging box after being removed with the first average value calculated correspondingly, judging whether the temperature signal acquired by a certain scavenging box temperature sensor is abnormal or not, namely calculating the temperature average value of each temperature signalStandard deviation X SD And pulse index I are respectively associated with the corresponding averaged temperature mean value +.>Standard deviation X SDN And pulse index I N If the comparison error of all the key parameters exceeds 20%, judging that the scavenging box temperature sensor is abnormal;
and (3) fault diagnosis of the abnormal scavenging air box temperature sensor: after the temperature sensor of the scavenging air box is abnormal, carrying out fault diagnosis on the temperature sensor of the No. J scavenging air box under the assumption that the temperature sensor of the No. J scavenging air box is abnormal;
firstly, calculating key parameters of a plurality of temperature signals acquired by N scavenging air box temperature sensors in a previous time period M2 (for example, the hour before the hour) with the same time period M1 according to the number of the acquired points of the temperature signals to obtain second key parameter values, namely calculating the average temperature value of each scavenging air box temperature signal in the time period M2Standard deviation X SD And pulse index I, it should be noted that these key parameters are the same as the previous step, but the time period is different, so the calculated values are different; removing the average value of the temperatures in the N scavenging boxes respectively +.>Standard deviation X SD And the highest value and the lowest value in the pulse index I, and calculating the average value +.>Standard deviation X SD And the average value of the pulse index I to obtain a second average value, and obtaining the average value of the temperatures of the N-2 scavenging air box temperature signals after the average value +.>Standard deviation X SDN And pulse index I N (see equations 6-8, not described here in detail) in calculating the temperature average +.>Standard deviation X SDN And pulse index I N Then, the temperature average value of the No. J scavenging air box temperature sensor is calculated>Standard deviation X SDJ Pulse index I J Mean value of temperature after averaging->Standard deviation X SDN And pulse index I N If the comparison errors of all the key parameters are not more than 20%, the temperature sensor of the No. J scavenging box can be judged to be faulty in the current time period M1, and fault alarm of the temperature sensor can be carried out.
The invention also relates to a fault diagnosis system of the ship main engine scavenging air box temperature sensor, which corresponds to the fault diagnosis method of the ship main engine scavenging air box temperature sensor, and can be understood as a system for realizing the method, and the system comprises a key parameter calculation module, a sensor abnormality identification module and an abnormal scavenging air box temperature sensor fault diagnosis module which are connected in sequence, in particular,
the key parameter calculation module is used for acquiring temperature signals of a plurality of scavenging boxes in the current time period through a temperature sensor of the scavenging box of the ship host, and calculating key parameters of the temperature signals of each scavenging box according to the number of acquisition points of the temperature signals to obtain first key parameters;
sensor abnormality recognition module: respectively eliminating the highest value and the lowest value of the same parameters in the first key parameter values corresponding to each scavenging box, calculating the average value of the first key parameter values corresponding to the residual scavenging boxes after elimination to obtain a first average value, comparing the first key parameter values corresponding to each scavenging box after elimination with the corresponding calculated first average value, and judging that the scavenging box temperature sensor is abnormal if the comparison error of the first key parameter value corresponding to a scavenging box and the first average value exceeds a preset range (preferably, the comparison error exceeds 20 percent);
the abnormal scavenging air box temperature sensor fault diagnosis module comprises: after the temperature sensor of the scavenging box is abnormal, calculating key parameters of temperature signals acquired by the temperature sensors of each scavenging box in the previous time period with the same duration as the current time period according to the number of acquisition points of the temperature signals to obtain second key parameter values, respectively eliminating the highest value and the lowest value of the same parameters in the second key parameter values corresponding to each scavenging box, calculating the average value of the second key parameter values corresponding to the residual scavenging box after elimination to obtain a second average value, comparing the second key parameter values corresponding to the abnormal scavenging box temperature sensor judged by the sensor abnormality recognition module with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error does not exceed the preset range (preferably the comparison error does not exceed 20%).
Preferably, before the key parameter calculation module, the system further comprises a sensor communication fault diagnosis module, wherein the sensor communication fault diagnosis module comprises an average frequency calculation module, a frequency screening module and a diagnosis processing module which are connected in sequence:
the average frequency calculation module is used for acquiring the number of the acquisition points of the temperature signals of the plurality of scavenging boxes in the current time period through the temperature sensors of the scavenging boxes of the ship main engine, calculating the frequency of each temperature signal according to the number of the acquisition points of the temperature signals, and calculating the average frequency of the temperature signals acquired by the temperature sensors corresponding to each scavenging box according to the frequency;
the frequency screening module sorts the average frequency of the temperature signals acquired by the temperature sensors of each scavenging box according to the height, eliminates the temperature signals with the lowest frequency and the highest frequency, and selects the highest frequency and the lowest frequency from the eliminated temperature information numbers;
the diagnosis processing module calculates the time difference of each temperature signal acquisition at the current moment according to the number of the acquisition points of the temperature signals, obtains the frequency of each temperature signal acquisition at the current moment according to the calculated average frequency, judges whether the temperature signal acquired by a certain scavenging box temperature sensor is abnormal or not according to the comparison result of the frequency of each temperature signal acquisition at the current moment and the highest frequency and the lowest frequency, and judges that the scavenging box temperature sensor is abnormal if the frequency of each temperature signal acquisition at the current moment is smaller than the preset lowest frequency threshold or larger than the preset highest frequency threshold (preferably smaller than half of the lowest frequency or larger than twice of the highest frequency).
Preferably, the key parameters include temperature mean, standard deviation, peak and pulse index.
The invention provides an objective and scientific fault diagnosis method and system for a temperature sensor of a ship main engine scavenging box.
It should be noted that the above-described embodiments will enable those skilled in the art to more fully understand the invention, but do not limit it in any way. Therefore, although the present invention has been described in detail with reference to the drawings and examples, it will be understood by those skilled in the art that the present invention may be modified or equivalent, and in all cases, all technical solutions and modifications which do not depart from the spirit and scope of the present invention are intended to be included in the scope of the present invention.
Claims (6)
1. The fault diagnosis method for the temperature sensor of the ship main engine scavenging box is characterized by comprising the following steps of:
and a key parameter calculation step: acquiring temperature signals of a plurality of scavenging boxes in a current time period through a temperature sensor of a scavenging box of a ship main engine, and calculating key parameters of the temperature signals of each scavenging box according to the number of acquisition points of the temperature signals to obtain a first key parameter value;
sensor abnormality recognition step: respectively eliminating the highest value and the lowest value of the same parameters in the first key parameter values corresponding to each scavenging box, calculating the average value of the first key parameter values corresponding to the residual scavenging boxes after elimination to obtain a first average value, comparing the first key parameter values corresponding to each scavenging box after elimination with the first average value calculated correspondingly, and judging that the scavenging box temperature sensor is abnormal if the comparison error of the first key parameter value corresponding to a scavenging box and the first average value exceeds a preset range;
and (3) fault diagnosis of the abnormal scavenging air box temperature sensor: after the temperature sensor of the scavenging box is abnormal, calculating key parameters of temperature signals acquired by the temperature sensors of each scavenging box in the previous time period with the same duration as the current time period according to the number of acquisition points of the temperature signals to obtain second key parameter values, respectively eliminating the highest value and the lowest value of the same parameters in the second key parameter values corresponding to each scavenging box, calculating the average value of the second key parameter values corresponding to the residual scavenging box after elimination to obtain a second average value, comparing the second key parameter values corresponding to the abnormal scavenging box temperature sensor judged in the sensor abnormality identification step with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error does not exceed the preset range.
2. The method of claim 1, wherein the key parameters include temperature mean, standard deviation, peak value and pulse indicator.
3. The fault diagnosis method of a ship main engine scavenging air box temperature sensor according to claim 1, wherein in the sensor abnormality identification step, if the comparison error between a first key parameter value corresponding to a certain scavenging air box and the first average value exceeds 20%, the scavenging air box temperature sensor is judged to be abnormal;
in the fault diagnosis step of the abnormal scavenging box temperature sensor, comparing a second key parameter value corresponding to the abnormal scavenging box temperature sensor judged in the sensor abnormality identification step with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error is not more than 20%.
4. A fault diagnosis system of a temperature sensor of a scavenging box of a ship host is characterized by comprising a key parameter calculation module, a sensor abnormality identification module and an abnormal scavenging box temperature sensor fault diagnosis module which are connected in sequence,
the key parameter calculation module: acquiring temperature signals of a plurality of scavenging boxes in a current time period through a temperature sensor of a scavenging box of a ship main engine, and calculating key parameters of the temperature signals of each scavenging box according to the number of acquisition points of the temperature signals to obtain first key parameters;
sensor abnormality recognition module: respectively eliminating the highest value and the lowest value of the same parameters in the first key parameter values corresponding to each scavenging box, calculating the average value of the first key parameter values corresponding to the residual scavenging boxes after elimination to obtain a first average value, comparing the first key parameter values corresponding to each scavenging box after elimination with the first average value calculated correspondingly, and judging that the scavenging box temperature sensor is abnormal if the comparison error of the first key parameter value corresponding to a scavenging box and the first average value exceeds a preset range;
the abnormal scavenging air box temperature sensor fault diagnosis module comprises: after the temperature sensor of the scavenging box is abnormal, calculating key parameters of temperature signals acquired by the temperature sensors of each scavenging box in the previous time period with the same duration as the current time period according to the number of acquisition points of the temperature signals to obtain second key parameter values, respectively eliminating the highest value and the lowest value of the same parameters in the second key parameter values corresponding to each scavenging box, calculating the average value of the second key parameter values corresponding to the residual scavenging box after elimination to obtain a second average value, comparing the second key parameter values corresponding to the abnormal scavenging box temperature sensor judged by the sensor abnormality recognition module with the second average value calculated correspondingly, and judging that the scavenging box temperature sensor fails in the current time period if the comparison error does not exceed the preset range.
5. The marine main engine purge bin temperature sensor fault diagnosis system of claim 4, wherein the key parameters include temperature mean, standard deviation, peak value, and pulse indicator.
6. The fault diagnosis system of the ship main engine scavenging air box temperature sensor according to claim 4, wherein the preset range of comparison errors in the sensor abnormality identification module and the abnormal scavenging air box temperature sensor fault diagnosis module is +/-20%.
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| CN105628257A (en) * | 2015-12-18 | 2016-06-01 | 潍柴动力股份有限公司 | Method and device for detecting failure of exhaust temperature sensor |
| CN110320874A (en) * | 2019-07-10 | 2019-10-11 | 上海建工材料工程有限公司 | The online fault detection method of the concrete production equipment of Intrusion Detection based on host electric current and system |
| CN111579121A (en) * | 2020-05-08 | 2020-08-25 | 上海电享信息科技有限公司 | Method for diagnosing temperature fault in new energy automobile battery pack on line based on big data |
| CN112199781A (en) * | 2020-10-28 | 2021-01-08 | 震兑工业智能科技有限公司 | Accidental fault detection method and system for ship main engine control system |
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