CN116501015B - Carrier-borne dragging electronic equipment carrier-based fault diagnosis method based on fault tree - Google Patents
Carrier-borne dragging electronic equipment carrier-based fault diagnosis method based on fault tree Download PDFInfo
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Abstract
The invention discloses a carrier-based dragging electronic equipment carrier-based fault diagnosis method based on a fault tree, which comprises the steps of determining an equipment fault top event according to a fault phenomenon when carrier-based dragging electronic equipment breaks down; traversing intermediate events of the fault subtrees to obtain all bottom events; acquiring the accumulated occurrence times ni of the bottom event to acquire an initial weight coefficient of the bottom event; acquiring the corrected weight coefficient of the bottom event, the weight coefficient of the bottom event relative to the top event and the comprehensive weight coefficient of the bottom event relative to the top event, sequencing the bottom events according to the comprehensive weight coefficient of the relative top event from the big to the small, sequentially performing bottom event fault removal according to the sequencing result, and determining the final bottom event of fault occurrence; to perform fault maintenance based on the final bottom event. The invention can quickly search and locate faults and provides great convenience for common crews to maintain faults.
Description
Technical Field
The invention belongs to the technical field of underwater system operation equipment, and particularly relates to a carrier-based dragging electronic equipment carrier-based fault diagnosis method.
The method is suitable for maintaining the carrier-based dragging electronic equipment at different functional systems to locate and remove faults.
Background
Because of the special use environment, the carrier-based dragging electronic equipment serving as a high-end equipment system is complex, has a severe underwater working environment and high reliability requirements, and has the advantages of large number of weapons, equipment, high risk and high safety requirements for related combat training, so that the carrier-based dragging electronic equipment is relatively less in actual use, the carrier-based dragging electronic equipment is not thoroughly mastered by the carrier, and the carrier-based dragging electronic equipment has insufficient capability in aspects of analyzing and removing faults of the carrier-based dragging electronic equipment in ordinary training activities and actual use.
At present, aiming at the maintenance guarantee of the carrier-based dragging electronic equipment, the maintenance guarantee is mainly based on equipment carrier-based maintenance manuals and random files, and the carrier is repaired by combining self experience through learning data. And the carrier-grade maintenance manual and the random file are made of paper, so that the variety of the files is large, and the fault retrieval and positioning are inconvenient. And projects such as IETM, PMA and PATS of ship electronic equipment generally locate faults to components, and certain difficulties exist in using common crews (equipment staff).
Disclosure of Invention
The invention provides a carrier-based dragging electronic equipment carrier-based fault diagnosis method based on a fault tree, which aims to overcome the technical problems.
In order to achieve the above object, the technical scheme of the present invention is as follows:
a carrier-based towed electronic equipment carrier-based fault diagnosis method based on fault tree comprises the following steps:
step one: establishing a fault tree of the ship-based dragging electronic equipment;
the fault tree of the carrier-based towed electronic equipment comprises a plurality of fault subtrees, wherein the fault subtrees comprise equipment fault top events, middle events and bottom events of the carrier-based towed electronic equipment;
wherein the equipment fault roof event is a subsystem fault of the carrier-based towed electronic equipment; each equipment fault roof event corresponds to a fault sub-tree;
the intermediate event is used for describing historical typical fault phenomena of a subsystem of the ship-borne towing electronic equipment in the operation and use processes;
the bottom event is a basic component of the crewmember-level maintenance of the intermediate event;
step two: when the carrier-based dragging electronic equipment fails, determining an equipment fault roof event according to the failure phenomenon of the carrier-based dragging electronic equipment;
step three: traversing intermediate events of a fault subtree corresponding to the equipment fault top event to obtain all bottom events of faults of the carrier-based towing electronic equipment;
step four: acquiring the accumulated occurrence times ni of the bottom event to acquire an initial weight coefficient of the bottom event;
step five: acquiring the corrected weight coefficient of the bottom event according to the accumulated occurrence times of the bottom event and the initial weight coefficient of the bottom event so as to acquire the weight coefficient of the bottom event relative to the top event;
step six: acquiring a comprehensive weight coefficient of a relative top event of the bottom event according to the weight coefficient of the relative top event of the bottom event, sequencing the bottom event according to the comprehensive weight coefficient of the relative top event from big to small, sequentially performing bottom event fault removal according to the sequencing result, and determining a final bottom event in which a fault occurs; to perform fault maintenance based on the final bottom event.
Further, the corrected weight coefficient of the bottom event is obtained as follows:
PNi＝ωi×Ni，i＝1,2,3，…，I；
wherein->
PNi is the corrected weight coefficient of the ith bottom event of the fault subtree; i is the number of the bottom event; omega i is the initial weight coefficient of the ith bottom event of the fault subtree; ni is the corrected weight coefficient of the ith bottom event, ni is the accumulated occurrence times of the ith bottom event of the fault subtree; x is an intermediate calculation parameter; i is the total number of bottom events; v is a fetch operator.
Further, the weight coefficient of the bottom event relative to the top event is obtained as follows:
Pji＝P(M 1k )×…×P(M dk )×PNi
wherein P (M 1k ) The probability of occurrence of the kth intermediate event is the 1 st intermediate event layer, where j represents the number of the failed subtree, P (M dk ) The probability of occurrence of the kth intermediate event is the d intermediate event layer, and the sum of the probabilities of occurrence of all the intermediate events of the d intermediate event layer is 1; pji the weight coefficient of the ith bottom event relative to the top event of the jth fault subtree.
Further, the comprehensive weight coefficient of the relative top event of the bottom event is obtained as follows: pi= Σ Pji.
Further, after the sixth step, the method further includes: assuming that the final bottom event at which the fault occurred is determined to be the i-th bottom event of the intermediate event,
if PNi <1, updating the cumulative occurrence frequency of the ith bottom event of the fault subtree to be ni+1;
and if PNi is more than or equal to 1, acquiring initial weight coefficients of all bottom events of the intermediate event again, and clearing the accumulated occurrence times of all the bottom events of the intermediate event.
Further, in the step six, after the bottom event faults are removed in sequence according to the sorting result, the final bottom event of the fault is not determined yet, then the expert diagnoses the ship-based dragging electronic equipment according to the fault phenomenon of the ship-based dragging electronic equipment, determines a new bottom event, adds the new bottom event to the bottom event of the middle event, and updates the fault tree.
The beneficial effects are that: according to the carrier-based dragging electronic equipment carrier-level fault diagnosis method based on the fault tree, when a system breaks down, according to the fault phenomenon of the carrier-based dragging electronic equipment, a fault top event is determined, an intermediate event to which the fault belongs is judged, the bottom event is diagnosed according to the weight coefficient of the bottom event corresponding to the intermediate event relative to the top event, a final bottom event of the fault is obtained, and the carrier-based dragging electronic equipment is maintained. According to the method provided by the invention, the faults can be quickly retrieved and positioned, and great convenience is provided for common crews to maintain the faults.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of a fault diagnosis method of the present invention;
FIG. 2 is a schematic diagram of a power system fault tree for a carrier-based towed electronic device in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a failure tree of a deck mechanical device of a ship-borne towed electronic device in an embodiment of the present invention;
FIG. 4 is a schematic diagram of a failure tree of a sensor array of a carrier-borne trailing electronics in an embodiment of the invention;
FIG. 5 is a schematic diagram of a signal transmission and communication fault tree of the shipboard trailing electronic device in an embodiment of the invention;
FIG. 6 is a schematic diagram of a signal processing fault tree of the carrier-borne trailing electronic equipment in an embodiment of the invention;
FIG. 7 is a schematic diagram of a fault tree of the carrier-borne trailing electronics equipment rack 4 in an embodiment of the invention;
fig. 8 is a schematic diagram of a display console fault tree of the shipboard trailing electronic device in an embodiment of the invention.
In the figureAn OR logic gate; />Is an intermediate event; />Is a bottom event.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment provides a carrier-based dragging electronic equipment carrier-based fault diagnosis method based on a fault tree, which comprises the following steps as shown in fig. 1:
step one: according to the working principle of the ship-based dragging electronic equipment, the practical situation of training activities, expert experience, historical fault cases and the like, a fault tree rule is established, and a fault tree of a certain ship-based dragging electronic equipment is formed; the fault tree of the carrier-based towed electronic equipment comprises a trunk fault subtree, and the fault subtree comprises an equipment fault top event, an equipment fault middle event and an equipment fault bottom event of the carrier-based towed electronic equipment; the intermediate event comprises a D-layer intermediate event layer;
the equipment fault top event is a subsystem fault of the carrier-based towing electronic equipment and is also a fault tree head node; the system comprises a power system fault, a deck mechanical device fault, a sensor array fault, an information transmission and communication system fault, a signal processing system fault, a cabinet 4 fault and a display control console fault of the ship-based towing electronic equipment; each of the equipment fault roof events (head nodes) corresponds to a fault sub-tree;
the power supply system, the deck mechanical device, the sensor array, the information transmission and communication system, the signal processing system, the cabinet 4 and the display console of the carrier-based towed electronic equipment are all existing working systems of the carrier-based towed electronic equipment system.
The intermediate event is used for describing historical typical fault phenomena of a subsystem of the ship-borne towing electronic equipment in the operation and use processes; wherein, the same-layer intermediate event is possible to be simultaneously established for the top event or the upper-layer intermediate event.
Specifically, the intermediate event is a fault factor on a fault diagnosis analysis path of the carrier-based towed electronic equipment, is a typical fault phenomenon of the carrier-based towed electronic equipment in the operation and use processes, and is a process node in a fault tree established; the same-layer intermediate event may be established for the top event or the upper-layer intermediate event.
The bottom event is a member-level maintenance basic component of the intermediate event, is a basic component which cannot be continuously unfolded in a fault tree and has faults, such as a circuit board, a switch and the like, and is a tail node of the fault tree;
setting corresponding identification symbols for fault tree nodes corresponding to the equipment fault top event, the equipment fault middle event and the equipment fault bottom event;
specifically, corresponding identification numbers are set for different fault tree nodes so as to facilitate quick search by a naval staff; if the first node (equipment fault top event) is set to a, the identification numbers of the process nodes (intermediate events) are set to GA, GB, GC … …, respectively, and the tail node (bottom event) identification number is set to X.
Specifically, the equipment failure roof event in this embodiment includes: a power system fault, a deck mechanical device fault, a sensor array fault, an information transmission and communication system fault, a signal processing system fault, a cabinet 4 fault and a display console fault of a certain ship-based towing electronic device are respectively set to be A1-A7; the intermediate event comprises fault phenomena encountered by daily works of a naval staff, such as abnormal indication of a voltmeter/ammeter, abnormal self-checking signal of a channel, abnormal switching, device state, abnormal operation of a deck mechanical device, abnormal operation of a display control console, abnormal information transmission and communication, abnormal signal processing, abnormal recording instrument and the like, and the fault phenomena are used as fault factors on a device fault diagnosis analysis path; the bottom event comprises a fault part, a fault device and a fault line;
the fault top events of each equipment are analyzed and decomposed step by step, the causal logic relationship among the fault top events, the middle events and the bottom events (namely fault phenomena, fault reasons and fault positions) of each equipment is represented in the form of a tree-shaped flow chart, and a fault tree of a certain type of carrier-based dragging electronic equipment for carrier-based maintenance is constructed.
Step two: when the carrier-based dragging electronic equipment breaks down, an equipment fault diagnosis mechanism is started, and an equipment fault top event (fault tree head node) is determined according to the fault phenomenon of certain carrier-based dragging electronic equipment, namely a subsystem in which the carrier-based dragging electronic equipment breaks down; specifically, according to the phenomenon generated when the ship-based towed electronic equipment fails, a person skilled in the art can primarily determine the electronic equipment subsystem with the failure, and determine the top event of the failure tree corresponding to the failure.
Step three: traversing a fault subtree corresponding to the equipment fault top event to acquire all bottom events of faults of the carrier-based towed electronic equipment;
specifically, the method for traversing the fault subtree corresponding to the equipment fault roof event comprises the following steps:
s31: step-by-step decomposing the fault subtrees by adopting a downlink traversing method, and traversing the same-layer intermediate events from left to right; the downlink traversing method and the traversing method from left to right of the same-layer intermediate event are the prior art in the field.
S32: if the fault phenomenon of a certain intermediate event is consistent with that of the carrier-based dragging electronic equipment, assigning the intermediate event code to be T, ending the traversal of other intermediate events in the same layer, continuing to traverse downwards by using the intermediate event until all bottom events of the intermediate event in the layer D are obtained after the intermediate event in the layer D;
specifically, if a certain intermediate event is judged not to be established in the traversal process, the code of the intermediate event is assigned as 'F', and downlink traversal is not performed any more; if so, assigning a value of T, continuing to traverse downwards, if the intermediate event is met, assigning a value of T, and if the intermediate event is met, retrieving and assigning the subsequent intermediate events of the same layer according to the value of T until the retrieval of the intermediate events of the same layer is completed; when the top event and the intermediate event are both established (the code assignment is "T"), then different intermediate events M are acquired dk The corresponding I bottom events, namely, the top event with the code expressed as T and the bottom event code corresponding to the middle event are assigned as T … T (the number of layers from the top event to the bottom event in the code length);
in this embodiment, the fault tree is decomposed layer by layer, only one middle layer is provided, the middle events corresponding to the same fault top event are searched according to the sequence from the small number to the large number of the middle events, and if the fault phenomenon of the carrier-borne dragging electronic equipment occurs and the M dk If the intermediate events of the carrier-borne trailing electronic equipment faults are consistent, determining the intermediate event of the carrier-borne trailing electronic equipment faults in the fault tree as intermediate event M dk Meanwhile, according to the fault tree of the shipboard towing electronic equipment, acquiring M dk I bottom events corresponding to the intermediate events; the middle events and all the bottom events corresponding to different fault subtrees form a fault minimum cut set together; for locating the fault location;
step four: acquiring the accumulated occurrence times ni of the bottom event to acquire an initial weight coefficient of the bottom event;
specifically, the cumulative occurrence number of the bottom event is recorded in the history data. The initial weight coefficient of the bottom event is obtained by carrying out quantitative scoring by an expert according to experience and equipment principles and assigning the importance degree of the bottom event according to the accumulated occurrence times of the bottom event. Wherein, the initial weight coefficient of the bottom event is omega i (0 is less than or equal to omega i is less than or equal to 1), and the sum of the weight coefficients of all the bottom events in the minimum cut sets of different fault subtrees is 1, which represents the fault complete set in which the intermediate event occurs;
step five: acquiring a corrected weight coefficient of the bottom event according to the accumulated occurrence times of the bottom event and the occurrence probability of the middle event so as to acquire the weight coefficient of the bottom event relative to the top event;
specifically, the modified weight coefficient of the fault subtree minimal cut bottom event (assigned value code is "T … T") is obtained as follows:
PNi＝ωi×Ni，i＝1,2,3，…，I；
wherein->
PNi is the corrected weight coefficient of the ith bottom event of the fault subtree; i is the number of the bottom event; omega i is the initial weight coefficient of the ith bottom event of the fault subtree; ni is the corrected weight coefficient of the ith bottom event, ni is the accumulated occurrence times of the ith bottom event of the fault subtree; x is an intermediate calculation parameter; i is the total number of bottom events; v is a fetch operator.
The weight coefficient of a least-squares bottom event (assigned value code is 'T … T') of a fault subtree relative to a top event is obtained as follows:
Pji＝P(M 1k )×…×P(M dk )×PNi
wherein P (M 1k ) The probability of occurrence of the kth intermediate event is the 1 st intermediate event layer, where j represents the number of the failed subtree, P (M dk ) For the (d) th intermediate event layer, the probability of occurrence of the (k) th intermediate event (0.ltoreq.P (M 1k )≤1，0≤P(M dk ) Less than or equal to 1), and the sum of all the occurrence probabilities of the intermediate events of the d-th intermediate event layer is 1; pji the weight coefficient of the ith bottom event relative to the top event of the jth fault subtree.
The comprehensive weight coefficient of the relative top event of each bottom event is obtained as follows: summing weights of the same bottom event and top event in different fault subtrees (assigned codes are T … T) to obtain comprehensive weight coefficients of the bottom event and the top event:
Pi＝∑Pji
step six: sequencing the bottom events according to the sequence from the large to the small of the comprehensive weight coefficient of the relative top event according to the comprehensive weight coefficient of the relative top event of the bottom events, giving a diagnosis result, sequentially carrying out bottom event fault elimination according to the sequencing result, and determining the final bottom event of fault occurrence; to perform fault maintenance based on the final bottom event.
Preferably, after the sixth step, the method further includes: assume that the final bottom event at which the fault occurs is determined to be the middle event M dk In correspondence with the i-th bottom event,
if PNi <1, updating the accumulated occurrence frequency of the ith bottom event of the fault subtree to be ni+1 for obtaining the corrected weight coefficient of the bottom event next time. The method is used for calculating the corrected weight coefficient of the bottom event subsequently and improving the accuracy of equipment fault diagnosis.
If PNi is more than or equal to 1, triggering a bottom event initial importance weight coefficient correcting mechanism, re-acquiring initial weight coefficients of the bottom events according to the accumulated occurrence times of the bottom events, re-assigning the initial weight coefficients omega i, correcting the omega i according to the occurrence times of faults, increasing the initial weight coefficients of the bottom events with more accumulated occurrence times of the bottom events, reducing the initial weight coefficients of the bottom events with less accumulated occurrence times of the bottom events, wherein omega i is more than or equal to 0 and less than or equal to 1, and the sum of all the bottom event weight coefficients in the minimum cutting set is 1; and clearing the accumulated occurrence times of all bottom events of the middle event. Specifically, the method is carried out again after zero clearing, and the failure times accumulated for a period of time is used for correcting the initial weight coefficient, so that the initial weight coefficient is more practical, and the situation that the initial weight is unreasonable due to insufficient sample number and expert knowledge deviation in the prior art is avoided.
In the sixth step, after the bottom event faults are removed in sequence according to the sorting result, the final bottom event of the fault occurrence is not determined, then the expert diagnoses the carrier-based dragging electronic equipment according to the fault phenomenon of the carrier-based dragging electronic equipment, determines a new bottom event, adds the new bottom event to the bottom event of the middle event, and updates the fault tree.
The invention is suitable for different types of carrier-based dragging electronic equipment, can help a carrier to quickly locate a fault part and a fault reason according to a typical equipment fault phenomenon, and provides important technical support for the carrier to quickly recover the carrier-based dragging electronic equipment. The invention can be popularized and applied to the field of fault diagnosis and maintenance and guarantee of other similar complex electronic information equipment such as ship-borne, ship-borne and shore-based electronic equipment and airborne electronic equipment.
Taking a fault tree for diagnosing the personnel level fault of the power supply system of the shipboard trailing electronic equipment as an example shown in fig. 2, the fault diagnosis method of the invention is further described.
(1) The power system fault is the first node (top event) of the fault tree A1, and the code is assigned as 'T';
(2) Firstly judging whether the condition of a fault tree subtree GA1 is met or not according to the middle event identification from the node of the next level of the first node, comparing other fault phenomena, namely that a main power switch is not pressed down, a machine cannot be started normally, a green indicator lamp is not on, the fault tree subtree GA1 is not met, the code is assigned as 'F', and continuing to expand, analyze and search without descending;
(3) The fault phenomenon is that a power switch of the cabinet 2 is pressed, a red indicator lamp is not lightened, the machine cannot be started normally, the fault subtree GA2 is judged to be established, the code assignment is T, an intermediate event is entered to search downwards, and bottom events X1, X2, X3 and X4 of the intermediate event are entered;
(4) X is the tail node identification number, no sequential search is performed, the fault subtree GA2 is used as a minimum cut set for the fault diagnosis, each bottom event code of the tail node is assigned as 'T', the initial importance weight coefficient omega i and the fault occurrence cumulative frequency n are shown in a table 1, the initial importance weight coefficient is already set, and the fault occurrence cumulative frequency n is also obtained through statistics according to the previous fault diagnosis result.
TABLE 1
(5) Continuing to traverse the same-layer fault subtree GA3 to the right, wherein the fault phenomenon is that a power supply switch of a sensor array is pressed down, a red indicator lamp is not on, a machine cannot be started normally, the fault subtree GA3 is judged to be established, the code assignment is T, and bottom events X1, X2, X3 and X5 of the intermediate event are entered;
(6) X is the tail node identification number, the fault subtree GA3 is taken as another minimum cut set of the fault diagnosis, and the accumulated times n of the fault occurrence according to the initial importance weight coefficient omega i and the fault occurrence are listed in the table 2.
TABLE 2
(7) Continuing to search the same-layer fault subtree GA4 to the right, if not, coding assignment is "F", and continuing to search the same-layer fault subtree GA4, GA5, GA6, GA7, GA8, GA9, GA10 and GA11 to the right, if not, and if all coding assignment is "F"; after the fault tree is searched, only the intermediate events GA2 and GA3 are coded as 'T', and the corresponding bottom events X1, X2, X3, X4 and X5 are coded as 'TTT'.
(8) According to the modified importance weight coefficient PNi calculation method, the GA2 fault subtree end node (bottom event) importance weight coefficients are available as listed in table 1 and the GA3 fault subtree end node (bottom event) importance weight coefficients are listed in table 2.
(9) The probability of occurrence of all intermediate events of the power supply system faults is shown in table 3, and according to the weight coefficient calculation method Pji =p (M k ) X PNi, the weight coefficients of the importance of the tail node (bottom event) to the top event under different intermediate event conditions are listed in table 4.
TABLE 3 Table 3
TABLE 4 Table 4
(10) According to the comprehensive weight coefficient calculation method pi= Σ Pji of the same bottom event relative to the top event of different fault subtrees, the fault diagnosis result subjected to importance ranking can be obtained, as shown in table 5, wherein the importance ranking of X1 is 1, the importance ranking of X2 is 2, the importance ranking of X3 is 3, the importance ranking of X4 is 4, and the importance ranking of X,5 is 5.
TABLE 5
| Ranking results | 1 | 2 | 3 | 4 | 5 |
| Bottom event (failure cause) | X1 | X2 | X3 | X4 | X5 |
| Comprehensive importance weight Pi | 0.246 | 0.088 | 0.055 | 0.079 | 0.022 |
(11) According to the given sequencing diagnosis result, determining the fault reason and the fault position according to the sequence of X1, X2, X3, X4 and X5, if the reason of the fault is determined to be that of the fault and the fault position is successfully removed, adding 1 to the cumulative number n of faults of the bottom event X1 under different fault subtrees, namely n+1, and changing the cumulative number of faults of the bottom event X1 corresponding to the fault subtree GA2 from 2 to 3.
(12) The corrected fault subtree GA3 corresponds to the importance weight coefficient pni=1.15 >1 of the bottom event X1, triggers the initial importance weight coefficient mechanism of the corrected bottom event, needs to reassign the initial weight coefficient of each bottom event to ωi, resets the cumulative occurrence number n of faults of each bottom event to 0, and specific values are shown in table 5.
TABLE 5
(13) The operation of the fault diagnosis of the naval staff based on the fault tree is finished.
The carrier-based electronic equipment carrier-based fault diagnosis method based on the fault tree can help carrier-based maintenance personnel to rapidly judge the fault part and the fault reason of the carrier-based electronic equipment according to the fault phenomenon, is convenient for the carrier to rapidly remove equipment faults, improves carrier-based equipment maintenance guarantee capability, and provides important technical support for rapidly recovering the carrier-based electronic equipment capability.
In this embodiment, the intermediate events and the bottom events corresponding to the fault tree A1 to A7 are shown as follows, where each system and each device appearing in the following table are conventional components in a certain type of carrier-borne trailing electronic equipment:
a1 power supply system fault tree intermediate event table
A1 power supply system fault tree bottom event table
FIG. 3 is an A2 deck machinery equipment fault tree. GA is an intermediate event fault phenomenon identifier, X is a bottom event fault location identifier, and the specific meaning is:
a2 deck machinery equipment fault tree intermediate event table
A3 deck mechanical equipment fault tree bottom event table
/>
FIG. 4 is an A3 sensor array fault tree. GA is an intermediate event fault phenomenon identifier, X is a bottom event fault location identifier, and the specific meaning is:
a3 sensor array fault tree intermediate event table
A3 sensor array fault tree bottom event table
Fig. 5 is an A4 signaling and communication failure tree. GA is an intermediate event fault phenomenon identifier, X is a bottom event fault location identifier, and the specific meaning is:
a4 signal transmission and communication fault tree intermediate event table
A4 signal transmission and communication fault tree bottom event table
Fig. 6 is an A5 signal processing fault tree. GA is an intermediate event fault phenomenon identifier, X is a bottom event fault location identifier, and the specific meaning is:
a5 signal processing fault tree intermediate event table
/>
A5 signal processing fault tree bottom event table
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Fig. 7 is an A6 cabinet 4 fault tree. GA is an intermediate event fault phenomenon identifier, X is a bottom event fault location identifier, and the specific meaning is:
a6 cabinet 4 fault tree intermediate event table
A6 cabinet 4 fault tree bottom event table
FIG. 8 is an A7 display console fault tree. GA is an intermediate event fault phenomenon identifier, X is a bottom event fault location identifier, and the specific meaning is:
a7 display console function fault tree intermediate event table
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A7 display console fault tree bottom event table
According to the carrier-based electronic equipment carrier-based dragging fault diagnosis method based on the fault tree, the fault tree of the carrier-based electronic equipment is established according to the structural characteristics, the functional composition, the working principle, the module/circuit/interface relation and the actual use condition of the equipment, when a system breaks down, an equipment fault top event is determined according to the fault phenomenon of the carrier-based electronic equipment, an intermediate event to which the fault belongs is judged, the bottom event is diagnosed according to the weight coefficient of the bottom event corresponding to the intermediate event, the final bottom event of the fault is obtained, and the carrier-based electronic equipment is maintained. According to the method provided by the invention, the faults can be quickly retrieved and positioned, and great convenience is provided for common crews to maintain the faults. The system can provide important technical support for the carrier-borne dragging electronic equipment capability of the carrier-borne quick recovery, and can be popularized and applied to the fields of fault diagnosis and maintenance of similar complex electronic information equipment such as other carrier-borne electronic equipment, ship-borne electronic equipment, shore-based electronic equipment and airborne electronic equipment.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (4)
1. The carrier-based dragging electronic equipment carrier-based fault diagnosis method is characterized by comprising the following steps of:
step one: establishing a fault tree of the ship-based dragging electronic equipment;
the fault tree of the carrier-based towed electronic equipment comprises a plurality of fault subtrees, wherein the fault subtrees comprise equipment fault top events, middle events and bottom events of the carrier-based towed electronic equipment;
wherein the equipment fault roof event is a subsystem fault of the carrier-based towed electronic equipment; each equipment fault roof event corresponds to a fault sub-tree;
the intermediate event is used for describing historical typical fault phenomena of a subsystem of the ship-borne towing electronic equipment in the operation and use processes;
the bottom event is a basic component of the crewmember-level maintenance of the intermediate event;
step two: when the carrier-based dragging electronic equipment fails, determining an equipment fault roof event according to the failure phenomenon of the carrier-based dragging electronic equipment;
step three: traversing intermediate events of a fault subtree corresponding to the equipment fault top event to obtain all bottom events of faults of the carrier-based towing electronic equipment;
step four: acquiring the accumulated occurrence times ni of the bottom event to acquire an initial weight coefficient of the bottom event;
step five: acquiring the corrected weight coefficient of the bottom event according to the accumulated occurrence times of the bottom event and the initial weight coefficient of the bottom event so as to acquire the weight coefficient of the bottom event relative to the top event;
the corrected weight coefficient of the bottom event is obtained as follows:
PNi＝ωi×Ni，i＝1,2,3，…，I；
wherein->
PNi is the corrected weight coefficient of the ith bottom event of the fault subtree; i is the number of the bottom event; omega i is the initial weight coefficient of the ith bottom event of the fault subtree; ni is the corrected weight coefficient of the ith bottom event, ni is the accumulated occurrence times of the ith bottom event of the fault subtree; x is an intermediate calculation parameter; i is the total number of bottom events; v is a fetch operator;
the weight coefficient of the bottom event relative to the top event is obtained as follows:
Pji＝P(M 1k )×…×P(M dk )×PNi
wherein P (M 1k ) The probability of occurrence of the kth intermediate event is the 1 st intermediate event layer, where j represents the number of the failed subtree, P (M dk ) The probability of occurrence of the kth intermediate event is the d intermediate event layer, and the sum of the probabilities of occurrence of all the intermediate events of the d intermediate event layer is 1; pji the weight coefficient of the ith bottom event relative to the top event of the jth fault subtree;
step six: acquiring a comprehensive weight coefficient of a relative top event of the bottom event according to the weight coefficient of the relative top event of the bottom event, sequencing the bottom event according to the comprehensive weight coefficient of the relative top event from big to small, sequentially performing bottom event fault removal according to the sequencing result, and determining a final bottom event in which a fault occurs; to perform fault maintenance based on the final bottom event.
2. The method for diagnosing the carrier-borne trailing electronic equipment carrier-borne faults based on the fault tree as claimed in claim 1,
the method is characterized in that the comprehensive weight coefficient of the relative top event of the bottom event is obtained as follows: pi= Σ Pji.
3. The method for diagnosing the carrier-borne trailing electronic equipment carrier-borne faults based on the fault tree as claimed in claim 1, wherein,
after the sixth step, the method further includes: assuming that the final bottom event at which the fault occurred is determined to be the i-th bottom event of the intermediate event,
if PNi <1, updating the cumulative occurrence frequency of the ith bottom event of the fault subtree to be ni+1;
and if PNi is more than or equal to 1, acquiring initial weight coefficients of all bottom events of the intermediate event again, and clearing the accumulated occurrence times of all the bottom events of the intermediate event.
4. The method for diagnosing the carrier-based drag electronic equipment carrier-based on the fault tree according to claim 1, wherein in the sixth step, when the final bottom event of the fault is not determined after the bottom event is sequentially removed according to the sequencing result, the expert diagnoses the carrier-based drag electronic equipment according to the fault phenomenon of the carrier-based drag electronic equipment, determines a new bottom event, adds the new bottom event to the bottom events of the intermediate events, and updates the fault tree.
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