CN111813807A - Real-time fault diagnosis method and device based on expert diagnosis library - Google Patents
Real-time fault diagnosis method and device based on expert diagnosis library Download PDFInfo
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Abstract
The invention discloses a real-time fault diagnosis method and device based on an expert diagnosis library. The real-time fault diagnosis method based on the expert diagnosis library comprises the following steps: constructing an information flow model based on information interaction conditions among all units in a system to be diagnosed; determining a fault transmission relation under a single fault mode based on the information flow model to construct an expert diagnosis library; and based on the expert diagnosis library, determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed. By adopting the invention, the information flow model is constructed, and the fault transfer relation is determined under the single fault mode based on the information flow model, so that the acquisition of knowledge can be facilitated, the construction of an expert diagnosis library is facilitated, and the efficiency of the diagnosis process is high.
Description
Technical Field
The invention relates to the technical field of fault diagnosis, in particular to a real-time fault diagnosis method and device based on an expert diagnosis library.
Background
The informationized combat provides unprecedented height for the combat capability, response capability and guarantee capability of weaponry. For a complex large-scale electronic information system, the system comprises hundreds of devices, millions of lines of software and a database, and is a system with high integration of software and hardware. For such a large system, it is necessary to distinguish between in-task and non-task fault detection and isolation. In the non-task process, including before and after the task, the calculation and storage capacity of the system is enough, and the system operator can participate in the situation of logic diagnosis (such as the indicator light at the position of the observable rack device, etc.), the fault diagnosis can be carried out by adopting the methods of an analytic model, a signal processing model, a knowledge base, etc. in combination with an interactive means; while fault diagnosis algorithms based on expert systems are generally adopted under the condition of limited on-board resources in the task process.
The basic principle of the Expert System (ES) is to use the experience indication and reasoning ability of experts to logically judge the information of devices and equipment during the fault process and describe and explain the reasoning process and results to the user. Because of the logical relationship between the fault event and the alarm information, the problem of fault diagnosis is solved by depending on the operation experience and logical reasoning of personnel. The expert system can express this logical relationship in the form of a rule. However, in the related art, the problem that the fault diagnosis by adopting an expert system is difficult to acquire knowledge, difficult to express and poor in learning ability and fault tolerance exists. And as the complexity of the system increases, the establishment, updating and maintenance of the rule base and the expert base thereof also become extremely complicated. When the rule exceeds a certain number, the search reasoning efficiency of the expert system is reduced, and the diagnosis speed is further slowed, which determines the limitation of the application of the expert system in the real-time fault diagnosis system.
Disclosure of Invention
The embodiment of the invention provides a real-time fault diagnosis method based on an expert diagnosis library, which is used for solving the problem that knowledge acquisition is difficult when an expert system is adopted for fault diagnosis in the prior art.
The real-time fault diagnosis method based on the expert diagnosis library comprises the following steps:
constructing an information flow model based on information interaction conditions among all units in a system to be diagnosed;
determining a fault transmission relation under a single fault mode based on the information flow model to construct an expert diagnosis library;
and determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
According to some embodiments of the invention, the determining a fault delivery relationship in a single fault mode based on the information flow model to construct an expert diagnosis library comprises:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module;
and constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
According to some embodiments of the present invention, the constructing an expert diagnostic library according to a fault delivery relationship in a single fault mode based on the diagnostic library rule includes:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the diagnosis library rule, determining an event code sequence corresponding to each unit when the unit fails according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
According to some embodiments of the present invention, the determining a unit in which a fault occurs according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library comprises:
acquiring an event code sequence from a fault signal received by a display unit in the system to be diagnosed;
and determining a unit with a fault according to the event code sequence based on the expert diagnostic library.
The real-time fault diagnosis device based on the expert diagnosis library comprises the following components:
the information flow model building unit is used for building an information flow model based on the information interaction condition among all units in the system to be diagnosed;
the expert diagnosis library construction unit is used for determining a fault transmission relation under a single fault mode based on the information flow model so as to construct an expert diagnosis library;
and the determining unit is used for determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
According to some embodiments of the invention, the expert diagnostic library construction unit is adapted to:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module;
and constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
According to some embodiments of the invention, the expert diagnostic library construction unit is adapted to:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the diagnosis library rule, determining an event code sequence corresponding to each unit when the unit fails according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
According to some embodiments of the invention, the determining unit is configured to:
acquiring an event code sequence from a fault signal received by a display unit in the system to be diagnosed;
and determining a unit with a fault according to the event code sequence based on the expert diagnostic library.
The real-time fault diagnosis equipment based on the expert diagnosis library comprises the following components: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the expert diagnostic library-based real-time fault diagnosis method as described above.
According to the computer readable storage medium of the embodiment of the present invention, the computer readable storage medium stores thereon an implementation program of information transfer, which when executed by a processor implements the steps of the real-time fault diagnosis method based on the expert diagnostic library as described above.
By adopting the embodiment of the invention, the information flow model is constructed, and the fault transfer relation is determined under the single fault mode based on the information flow model, so that the acquisition of knowledge can be facilitated, the construction of an expert diagnosis library is facilitated, and the efficiency of the diagnosis process is high.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for real-time fault diagnosis based on an expert diagnostic library in an embodiment of the present invention;
FIG. 2 is a schematic diagram of an information flow model in an embodiment of the invention;
FIG. 3 is a schematic diagram illustrating a diagnosis result display of a real-time fault diagnosis method based on an expert diagnosis library according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a real-time fault diagnosis device based on an expert diagnosis library according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a real-time fault diagnosis device based on an expert diagnosis library in the embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As shown in fig. 1, a method for diagnosing a fault in real time based on an expert diagnostic library according to an embodiment of the present invention includes:
and S1, constructing an information flow model based on the information interaction condition among the units in the system to be diagnosed.
The information flow model reflects the function information flow direction and the interconnection relationship among all the constituent units after the function and the structure of the system to be diagnosed are reasonably divided.
And S2, determining the fault transmission relation in the single fault mode based on the information flow model to construct an expert diagnosis library.
The fault propagation relationship in the single fault mode can be understood as the correlation between the fault and the measurement point under the assumption that there is a fault in only one unit and only one unit in the system to be diagnosed. A measuring station is understood here as a detection device for detecting a cell fault. For example, a station may be provided at each cell for acquiring a fault signal at the cell and communicating with the signal stream. Because the positions of all units in the information flow model are different, signals of some units can be transmitted backwards, fault signals corresponding to the units can be transmitted backwards along with the signal flow and can be detected in a measuring point through which the signal flow flows; and other units can not transmit signals backwards, fault signals corresponding to the units can not be transmitted along with the signal flow, and if the fault signals are detected, the fault signals can be detected only at the detected point of the unit with the fault. The expert diagnostic library may reflect the correspondence between the failed cell and the fault signal detected at each cell site.
And S3, determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
Since the display unit is the end of the signal stream, the unit that has failed can be determined against the expert diagnostic library based on the fault signal received by the display unit.
By adopting the embodiment of the invention, the information flow model is constructed, and the fault transfer relation is determined under the single fault mode based on the information flow model, so that the acquisition of knowledge can be facilitated, the construction of an expert diagnosis library is facilitated, and the efficiency of the diagnosis process is high.
On the basis of the above-described embodiment, various modified embodiments are further proposed, and it is to be noted herein that, in order to make the description brief, only the differences from the above-described embodiment are described in the various modified embodiments.
According to some embodiments of the invention, determining a fault transfer relationship in a single fault mode based on an information flow model to construct an expert diagnostic library comprises:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing switching part, an independent failure part, a transmission failure part and a special processing module.
And classifying the identities of all units through analyzing the information flow model, and performing fault diagnosis analysis on all the identities to establish a diagnosis base rule.
For example, with respect to the redundancy design portion, if a failure occurs in the redundancy design portion, it is possible to correctly read back failure data information of all cells. The main link portion assumes the communication responsibility of the system to be diagnosed. For example, the main link portion of the system typically includes a main power supply, a chassis, a system switch module, and a display unit. And when the unit of the main link part has application-type faults, the data information received by the display unit is all faults. The processing and switching part comprises a system switching unit and an internal chassis switching unit. If the exchange unit in the case has a fault, other units in the case report the fault. The fault of the independent fault part can not be transmitted, and if fault data information occurs, the fault data information is respectively displayed. The transmission fault part needs to be analyzed separately to determine the transmission relation. Separate analysis is required for the particular processing module.
And constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
The dimension reduction of the diagnosis library can be realized by providing 6 types of universal diagnosis rules comprising a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module.
According to some embodiments of the present invention, based on the diagnostic library rules, an expert diagnostic library is constructed according to the fault delivery relationship in the single fault mode, including:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the rules of the diagnosis library, determining event code sequences corresponding to the units when the units fail according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
By setting event codes which correspond to fault criteria of each unit one by one, the event codes have the advantage of independent identification, the search reasoning efficiency can be improved, and the diagnosis speed can be improved.
According to some embodiments of the present invention, a unit for determining a fault according to a fault signal received by a display unit in a system to be diagnosed based on an expert diagnosis library, includes:
acquiring an event code sequence from a fault signal received by a display unit in a system to be diagnosed;
and determining the failed unit according to the event code sequence based on the expert diagnostic library.
The real-time fault diagnosis method based on the expert diagnosis library according to the embodiment of the present invention is described in detail in a specific embodiment with reference to fig. 2 to 3. It is to be understood that the following description is illustrative only and is not intended to be in any way limiting. All similar structures and similar variations thereof adopted by the invention are intended to fall within the scope of the invention.
The information-based combat provides unprecedented height for the combat capability, response capability and guarantee capability of weaponry. For a complex large-scale electronic information system, hundreds of devices, millions of lines of software and databases are included, and the system is a system with highly integrated software and hardware. For such a large system, the detection and isolation of faults in a task and a non-task need to be distinguished: in the non-task process, including before and after the task, the calculation and storage capacity of the system is enough, and the system operator can participate in the situation of logic diagnosis (such as the indicator light at the position of the observable rack device, etc.), the fault diagnosis can be carried out by adopting the methods of an analytic model, a signal processing model, a knowledge base, etc. in combination with an interactive means; in the task process, under the condition of limited on-board resources, a fault diagnosis algorithm based on an expert system can be considered.
The basic principle of the Expert System (ES) is to use the experience indication and reasoning ability of experts to logically judge the information of devices and equipment during the fault process and describe and explain the reasoning process and results to the user. Because of the logical relationship between the fault event and the alarm information, the problem of fault diagnosis is solved by depending on the operation experience and logical reasoning of personnel. The expert system can express the logical relationship in the form of rules, so that the system is applicable to the field, and partial research work is carried out in this respect at home and abroad.
The current expert diagnoses are as follows:
1) the expert system [1] with alarm processing and fault diagnosis is adopted in the reasoning process, the similarity of the existing alarm and the expected alarm when the hypothesis is true is compared, and the hypothesis with the highest credibility is finally accepted as a diagnosis result.
2) And a fault diagnosis expert system [2] based on the model constructs a correct behavior model library of the protection device by utilizing fault recording or similar data so as to evaluate the action behavior of the protection device in the fault process.
4) Logic-based on-line alarm processing expert system [3], uses Sequence of events (SOE) as information source, locates fault elements and failure protection devices through logic reasoning, and avoids the generation of confusing diagnosis results.
5) An expert system [4,5] introducing fuzzy rules can be used to deal with uncertainties in fault diagnosis. Document [4] uses fuzzy feature classification to enhance the expert system, while document [5] uses vector graphs to represent fuzzy associations between events and supports ranking of possible candidate fault hypotheses by confidence.
6) A fault diagnosis system [6] incorporating fuzzy relation theory for handling uncertainty in protection device actions and alarm information.
In the patent aspect, the prior patent comprises a real-time fault diagnosis method and a real-time fault diagnosis device, and the fault is classified into three types of no fault, slight fault and serious fault by adopting a grading method to alarm; the seven-level inverter with fault diagnosis function and the fault diagnosis method adopt a fault diagnosis method based on a neural network.
The expert system has a more successful application case in the field of fault diagnosis. But it has the problems of difficulty in knowing, difficulty in expressing complex problems, and poor learning ability and fault tolerance. And as the complexity of the system increases, the establishment, updating and maintenance of the rule base and the expert base thereof also become extremely complicated. When the rule exceeds a certain number, the search reasoning efficiency of the expert system is reduced, and the diagnosis speed is further slowed, which determines the limitation of the application of the expert system in the real-time fault diagnosis system.
Taking an electronic information system as an example, the system comprises 14 LRUs, each LRU can report the device state to a display terminal through different data types, and other measuring points in the system cannot participate in diagnosis in the task process. The LRU1 is a main power supply, the LRU2 is a power control box, the LRU3 is a centralized control box, the LRU4 is a general processor, the LRU5 is an internal switch, the LRU6 is an internal switch, the LRU7 is a system switch, the LRUs 8-10 are all interactive all-in-one machines, the LRU11 is an internal switch, the LRUs 12-13 are data processing modules, and the LRU14 is a system switch.
The real-time fault diagnosis method based on the expert diagnosis library comprises the following steps:
step one, under the premise of single fault assumption, an information flow model of the electronic information system is constructed, as shown in fig. 2.
And step two, establishing a diagnosis base rule according to the fault transfer relation, as shown in table 1.
TABLE 1 diagnostic library rules
| Module | ID | Rule analysis |
| LRU1 | 10401 | Main link part |
| LRU2 | 10402 | Main link part |
| LRU3 | 10403 | Transmitting faulty section |
| LRU4 | 10404 | Transmitting faulty section |
| LRU5 | 10405 | Redundant design portion |
| LRU6 | 10406 | Redundant design portion |
| LRU7 | 10407 | Main link part |
| LRU8 | 10408 | Main link part |
| LRU9 | 10409 | Independent fault section |
| LRU10 | 10410 | Independent fault section |
| LRU11 | 10411 | Processing the switching part |
| LRU12 | 10412 | Independent fault section |
| LRU13 | 10413 | Independent fault section |
| LRU14 | 10414 | Main link part |
LRU1, LRU2, LRU5 or LRU6, LRU14, LRU7, and LRU8 form the main communication link (i.e., main link portion) of the system, including power, communication, and display portions. The LRU5 and the LRU6 are designed to be redundant design parts in consideration of the influence of important units on the system, and the normal operation of the system is guaranteed. LRU3 failure or non-response has an effect on LRU4, but LRU4 failure or non-response has no effect on LRU3, both modules being designed to pass on the failed portion in view of their transitivity and relevance. LRU14, LRU11, LRU12, LRU13 are located in the same chassis, LRU14 is processed as a main link portion, LRU11 is a processing switch portion, and signal transmission is performed for LRU12 and LRU13, so that LRU11 fails or is not responsive, and LRU12 and LRU13 are both non-responsive, while the failure between LRU12 and LRU13 is not affected by each other, as an independent failure portion. LRU9 and LRU10 are independent fault sections.
And step three, converting the fault criteria which may appear in each unit into corresponding event codes for storage, as shown in table 2. The event code is 7-bit code, the first 5 bits are device code, and the last two bits represent fault type: 04: normal, 05: failure, 08: no response.
TABLE 2 Fault criteria and event code information
The electronic information system display unit receives the signal and its signal type, all data types are converted into event code for storage. For an electronic information system, a signal comprising: a) message messages (event codes); b)
sensor signals (vibration, temperature, flow, pressure, etc.); c) power supply signals (voltage, current, etc.); d) network signals (packet loss rate, bit error rate, etc.); e) application signals (transmit power, noise level, etc.); f) hardware state information (CPU state, memory state, etc.). Signal (data) types, including: a) double precision floating point, b) TTL, c)0/1, d) binary, e) counts, etc. The fault criterion is a threshold value for judging whether a product constitutes a fault, and is generally determined according to performance parameters and allowable limits specified by the product. An independently recognized message means that the different states of each unit are represented by a separate code, as shown in FIG. 3.
Step four, the expert diagnostic library obtained according to the steps is shown in table 3. With 14 LRU event code sequences on the left and diagnostic results, i.e., fuzzy sets, on the right.
TABLE 3 expert diagnostics library
Where fuzzy sets refer to a set of replaceable units having the same or similar fault signature, where the true location of the fault cannot be identified in fault isolation, where each replaceable unit may have a fault.
By adopting the embodiment of the invention, all data types are converted into the message information with independent identification, the search reasoning efficiency is improved, and the diagnosis speed is increased; the given 6 types of universal diagnosis rules comprise a redundancy design part, a main link part, a processing switching part, an independent fault part, a transmission fault part, a special processing module and the like. And (4) realizing the dimension reduction of the diagnosis library by constructing rules. Compared with the traditional fault diagnosis algorithm, the embodiment of the invention is more efficient in the following combat mission stages: 1) in the process of executing tasks, monitoring parameters cannot be reported in real time; 2) the system operator cannot participate in the logic diagnosis; 3) the system dynamically occupies computing and storage resources.
It should be noted that the above-mentioned embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention, and those skilled in the art can make various modifications and changes. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
As shown in fig. 4, the expert diagnosis library-based real-time fault diagnosis apparatus 1 according to the embodiment of the present invention includes:
the information flow model building unit 10 is used for building an information flow model based on information interaction conditions among all units in the system to be diagnosed;
an expert diagnostic library construction unit 20, configured to determine a fault transfer relationship in a single fault mode based on the information flow model, so as to construct an expert diagnostic library;
and the determining unit 30 is used for determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
By adopting the embodiment of the invention, the information flow model is constructed, and the fault transfer relation is determined under the single fault mode based on the information flow model, so that the acquisition of knowledge can be facilitated, the construction of an expert diagnosis library is facilitated, and the efficiency of the diagnosis process is high.
On the basis of the above-described embodiment, various modified embodiments are further proposed, and it is to be noted herein that, in order to make the description brief, only the differences from the above-described embodiment are described in the various modified embodiments.
According to some embodiments of the invention, the expert diagnostic library construction unit 20 is configured to:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module;
and constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
According to some embodiments of the invention, the expert diagnostic library construction unit 20 is configured to:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the rules of the diagnosis library, determining event code sequences corresponding to the units when the units fail according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
According to some embodiments of the invention, the determining unit 30 is configured to:
acquiring an event code sequence from a fault signal received by a display unit in a system to be diagnosed;
and determining the failed unit according to the event code sequence based on the expert diagnostic library.
The expert diagnosis library-based real-time fault diagnosis apparatus 1000 according to an embodiment of the present invention, as shown in fig. 5, includes: a memory 1010, a processor 1020 and a computer program stored on the memory 1010 and executable on the processor 1020, the computer program realizing the following method steps when executed by the processor 1020:
and S1, constructing an information flow model based on the information interaction condition among the units in the system to be diagnosed.
The information flow model reflects the function information flow direction and the interconnection relationship among all the constituent units after the function and the structure of the system to be diagnosed are reasonably divided.
And S2, determining the fault transmission relation in the single fault mode based on the information flow model to construct an expert diagnosis library.
The fault propagation relationship in the single fault mode can be understood as the correlation between the fault and the measurement point under the assumption that there is a fault in only one unit and only one unit in the system to be diagnosed. A measuring station is understood here as a detection device for detecting a cell fault. For example, a station may be provided at each cell for acquiring a fault signal at the cell and communicating with the signal stream. Because the positions of all units in the information flow model are different, signals of some units can be transmitted backwards, fault signals corresponding to the units can be transmitted backwards along with the signal flow and can be detected in a measuring point through which the signal flow flows; and other units can not transmit signals backwards, fault signals corresponding to the units can not be transmitted along with the signal flow, and if the fault signals are detected, the fault signals can be detected only at the detected point of the unit with the fault. The expert diagnostic library may reflect the correspondence between the failed cell and the fault signal detected at each cell site.
And S3, determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
Since the display unit is the end of the signal stream, the unit that has failed can be determined against the expert diagnostic library based on the fault signal received by the display unit.
By adopting the embodiment of the invention, the information flow model is constructed, and the fault transfer relation is determined under the single fault mode based on the information flow model, so that the acquisition of knowledge can be facilitated, the construction of an expert diagnosis library is facilitated, and the efficiency of the diagnosis process is high.
On the basis of the above-described embodiment, various modified embodiments are further proposed, and it is to be noted herein that, in order to make the description brief, only the differences from the above-described embodiment are described in the various modified embodiments.
According to some embodiments of the invention, determining a fault transfer relationship in a single fault mode based on an information flow model to construct an expert diagnostic library comprises:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing switching part, an independent failure part, a transmission failure part and a special processing module.
And classifying the identities of all units through analyzing the information flow model, and performing fault diagnosis analysis on all the identities to establish a diagnosis base rule.
For example, with respect to the redundancy design portion, if a failure occurs in the redundancy design portion, it is possible to correctly read back failure data information of all cells. The main link portion assumes the communication responsibility of the system to be diagnosed. For example, the main link portion of the system typically includes a main power supply, a chassis, a system switch module, and a display unit. And when the unit of the main link part has application-type faults, the data information received by the display unit is all faults. The processing and switching part comprises a system switching unit and an internal chassis switching unit. If the exchange unit in the case has a fault, other units in the case report the fault. The fault of the independent fault part can not be transmitted, and if fault data information occurs, the fault data information is respectively displayed. The transmission fault part needs to be analyzed separately to determine the transmission relation. Separate analysis is required for the particular processing module.
And constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
The dimension reduction of the diagnosis library can be realized by providing 6 types of universal diagnosis rules comprising a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module.
According to some embodiments of the present invention, based on the diagnostic library rules, an expert diagnostic library is constructed according to the fault delivery relationship in the single fault mode, including:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the rules of the diagnosis library, determining event code sequences corresponding to the units when the units fail according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
By setting event codes which correspond to fault criteria of each unit one by one, the event codes have the advantage of independent identification, the search reasoning efficiency can be improved, and the diagnosis speed can be improved.
According to some embodiments of the present invention, a unit for determining a fault according to a fault signal received by a display unit in a system to be diagnosed based on an expert diagnosis library, includes:
acquiring an event code sequence from a fault signal received by a display unit in a system to be diagnosed;
and determining the failed unit according to the event code sequence based on the expert diagnostic library.
According to the computer readable storage medium of the embodiment of the present invention, the computer readable storage medium stores the implementation program of information transfer, and the program realizes the following method steps when being executed by a processor:
and S1, constructing an information flow model based on the information interaction condition among the units in the system to be diagnosed.
The information flow model reflects the function information flow direction and the interconnection relationship among all the constituent units after the function and the structure of the system to be diagnosed are reasonably divided.
And S2, determining the fault transmission relation in the single fault mode based on the information flow model to construct an expert diagnosis library.
The fault propagation relationship in the single fault mode can be understood as the correlation between the fault and the measurement point under the assumption that there is a fault in only one unit and only one unit in the system to be diagnosed. A measuring station is understood here as a detection device for detecting a cell fault. For example, a station may be provided at each cell for acquiring a fault signal at the cell and communicating with the signal stream. Because the positions of all units in the information flow model are different, signals of some units can be transmitted backwards, fault signals corresponding to the units can be transmitted backwards along with the signal flow and can be detected in a measuring point through which the signal flow flows; and other units can not transmit signals backwards, fault signals corresponding to the units can not be transmitted along with the signal flow, and if the fault signals are detected, the fault signals can be detected only at the detected point of the unit with the fault. The expert diagnostic library may reflect the correspondence between the failed cell and the fault signal detected at each cell site.
And S3, determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
Since the display unit is the end of the signal stream, the unit that has failed can be determined against the expert diagnostic library based on the fault signal received by the display unit.
By adopting the embodiment of the invention, the information flow model is constructed, and the fault transfer relation is determined under the single fault mode based on the information flow model, so that the acquisition of knowledge can be facilitated, the construction of an expert diagnosis library is facilitated, and the efficiency of the diagnosis process is high.
On the basis of the above-described embodiment, various modified embodiments are further proposed, and it is to be noted herein that, in order to make the description brief, only the differences from the above-described embodiment are described in the various modified embodiments.
According to some embodiments of the invention, determining a fault transfer relationship in a single fault mode based on an information flow model to construct an expert diagnostic library comprises:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing switching part, an independent failure part, a transmission failure part and a special processing module.
And classifying the identities of all units through analyzing the information flow model, and performing fault diagnosis analysis on all the identities to establish a diagnosis base rule.
For example, with respect to the redundancy design portion, if a failure occurs in the redundancy design portion, it is possible to correctly read back failure data information of all cells. The main link portion assumes the communication responsibility of the system to be diagnosed. For example, the main link portion of the system typically includes a main power supply, a chassis, a system switch module, and a display unit. And when the unit of the main link part has application-type faults, the data information received by the display unit is all faults. The processing and switching part comprises a system switching unit and an internal chassis switching unit. If the exchange unit in the case has a fault, other units in the case report the fault. The fault of the independent fault part can not be transmitted, and if fault data information occurs, the fault data information is respectively displayed. The transmission fault part needs to be analyzed separately to determine the transmission relation. Separate analysis is required for the particular processing module.
And constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
The dimension reduction of the diagnosis library can be realized by providing 6 types of universal diagnosis rules comprising a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module.
According to some embodiments of the present invention, based on the diagnostic library rules, an expert diagnostic library is constructed according to the fault delivery relationship in the single fault mode, including:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the rules of the diagnosis library, determining event code sequences corresponding to the units when the units fail according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
By setting event codes which correspond to fault criteria of each unit one by one, the event codes have the advantage of independent identification, the search reasoning efficiency can be improved, and the diagnosis speed can be improved.
According to some embodiments of the present invention, a unit for determining a fault according to a fault signal received by a display unit in a system to be diagnosed based on an expert diagnosis library, includes:
acquiring an event code sequence from a fault signal received by a display unit in a system to be diagnosed;
and determining the failed unit according to the event code sequence based on the expert diagnostic library.
The computer-readable storage medium of this embodiment includes, but is not limited to: ROM, RAM, magnetic or optical disks, and the like.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It should be noted that, in the description of the present specification, in the following description, suffixes such as "module", "component", or "unit" used to represent elements are used only for facilitating the description of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly. Furthermore, references to the description of the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," or the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Although some embodiments described herein include some features included in other embodiments instead of others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. The particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. For example, in the claims, any of the claimed embodiments may be used in any combination.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A real-time fault diagnosis method based on an expert diagnosis library is characterized by comprising the following steps:
constructing an information flow model based on information interaction conditions among all units in a system to be diagnosed;
determining a fault transmission relation under a single fault mode based on the information flow model to construct an expert diagnosis library;
and determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
2. The method of claim 1, wherein determining a fault delivery relationship in a single fault mode based on the information flow model to build an expert diagnostic library comprises:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module;
and constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
3. The method of claim 2, wherein constructing an expert diagnostic library from fault delivery relationships in a single fault mode based on the diagnostic library rules comprises:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the diagnosis library rule, determining an event code sequence corresponding to each unit when the unit fails according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
4. The method of claim 3, wherein the determining the unit with the fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library comprises:
acquiring an event code sequence from a fault signal received by a display unit in the system to be diagnosed;
and determining a unit with a fault according to the event code sequence based on the expert diagnostic library.
5. A real-time fault diagnosis device based on an expert diagnosis library, comprising:
the information flow model building unit is used for building an information flow model based on the information interaction condition among all units in the system to be diagnosed;
the expert diagnosis library construction unit is used for determining a fault transmission relation under a single fault mode based on the information flow model so as to construct an expert diagnosis library;
and the determining unit is used for determining a unit with a fault according to the fault signal received by the display unit in the system to be diagnosed based on the expert diagnosis library.
6. The apparatus of claim 5, wherein the expert diagnostic library construction unit is to:
under the single fault mode, based on the information flow model, the identity of each unit in the system to be diagnosed is analyzed to construct a diagnosis library rule, wherein the identity comprises: the system comprises a redundancy design part, a main link part, a processing and switching part, an independent fault part, a fault transmission part and a special processing module;
and constructing an expert diagnosis library according to the fault transmission relation in the single fault mode based on the diagnosis library rule.
7. The apparatus of claim 6, wherein the expert diagnostic library construction unit is to:
setting event codes which correspond to fault criteria of each unit one by one, wherein the event codes comprise equipment codes and fault type codes;
and based on the diagnosis library rule, determining an event code sequence corresponding to each unit when the unit fails according to the fault transmission relation in the single fault mode so as to construct an expert diagnosis library.
8. The apparatus of claim 7, wherein the determination unit is to:
acquiring an event code sequence from a fault signal received by a display unit in the system to be diagnosed;
and determining a unit with a fault according to the event code sequence based on the expert diagnostic library.
9. A real-time fault diagnosis apparatus based on an expert diagnosis library, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the steps of the expert diagnostic library based real-time fault diagnosis method according to any one of claims 1 to 4.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon an implementation program for information delivery, which when executed by a processor implements the steps of the expert diagnostic library-based real-time fault diagnosis method according to any one of claims 1 to 4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06222922A (en) * | 1993-01-21 | 1994-08-12 | Sankyo Seiki Mfg Co Ltd | Expert system |
| KR970014417A (en) * | 1995-08-05 | 1997-03-29 | 양승택 | Fault diagnosis expert system for electronic exchange |
| CN102879680A (en) * | 2012-09-26 | 2013-01-16 | 中南大学 | Rail transit vehicle equipment universal detection and fault diagnosis method and system |
| CN106354118A (en) * | 2016-08-25 | 2017-01-25 | 株洲中车时代电气股份有限公司 | Fault diagnosis system and method for train based on fault tree |
| CN111176877A (en) * | 2019-12-27 | 2020-05-19 | 北京旋极信息技术股份有限公司 | Fault diagnosis method, system and readable medium for electronic information system |
-
2020
- 2020-06-05 CN CN202010505808.0A patent/CN111813807B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06222922A (en) * | 1993-01-21 | 1994-08-12 | Sankyo Seiki Mfg Co Ltd | Expert system |
| KR970014417A (en) * | 1995-08-05 | 1997-03-29 | 양승택 | Fault diagnosis expert system for electronic exchange |
| CN102879680A (en) * | 2012-09-26 | 2013-01-16 | 中南大学 | Rail transit vehicle equipment universal detection and fault diagnosis method and system |
| CN106354118A (en) * | 2016-08-25 | 2017-01-25 | 株洲中车时代电气股份有限公司 | Fault diagnosis system and method for train based on fault tree |
| CN111176877A (en) * | 2019-12-27 | 2020-05-19 | 北京旋极信息技术股份有限公司 | Fault diagnosis method, system and readable medium for electronic information system |
Non-Patent Citations (1)
| Title |
|---|
| 何亮: "基于故障码的汽车故障诊断专家系统的研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
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