CN113051749B - Aircraft reliability data asset metadata decomposition method and device - Google Patents
Aircraft reliability data asset metadata decomposition method and device Download PDFInfo
- Publication number
- CN113051749B CN113051749B CN202110298102.6A CN202110298102A CN113051749B CN 113051749 B CN113051749 B CN 113051749B CN 202110298102 A CN202110298102 A CN 202110298102A CN 113051749 B CN113051749 B CN 113051749B
- Authority
- CN
- China
- Prior art keywords
- metadata
- reliability
- layer metadata
- determining
- task
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000000354 decomposition reaction Methods 0.000 title claims abstract description 30
- 230000007246 mechanism Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 7
- 239000002245 particle Substances 0.000 claims description 7
- 230000000704 physical effect Effects 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 230000008439 repair process Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Abstract
The invention provides a method and a device for decomposing aircraft reliability data asset metadata, comprising the following steps: acquiring an aircraft operation reliability historical original data set; respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set; and integrating the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set. The invention decomposes the aircraft reliability data asset into concept layer metadata, logic layer metadata and physical layer metadata, unifies the physical connotations of three types of data based on unavailable time codes, and achieves the aim of data standard consistency.
Description
Technical Field
The invention relates to the technical field of aviation equipment, in particular to a method and a device for decomposing aircraft reliability data asset metadata.
Background
In the existing work of analyzing the reliability of the aircraft, effective connection among the three dimensions of availability, reliability and maintainability cannot be performed, namely, when quantitative or qualitative analysis is performed on each attribute, a unified minimum element decomposition method and a judgment standard corresponding to a base line do not exist.
Therefore, a new method of analysis for minimum levels of aircraft reliability data is proposed.
Disclosure of Invention
The invention provides a method and a device for decomposing aircraft reliability data asset metadata, which are used for solving the defects in the prior art.
In a first aspect, the present invention provides a method of aircraft reliability data asset metadata decomposition, comprising:
acquiring an aircraft operation reliability historical original data set;
respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set;
and integrating the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set.
In one embodiment, the determining concept layer metadata, logical layer metadata and physical layer metadata of the aircraft operational reliability historical raw data set respectively specifically includes:
determining a preset proportion of availability;
determining the unavailable time in a preset task period based on the preset proportion of the availability, and classifying the unavailable time according to the AOA codes to obtain a reliability classification code and a maintainability classification code;
and comparing the reliability classification code with the maintainability classification code to obtain a plurality of gaps, sequencing the gaps, and determining to obtain the BIST according to a preset judgment threshold.
In one embodiment, the reliability class code and the serviceability class code have uniform physical properties.
In one embodiment, the determining the concept layer metadata, the logical layer metadata, and the physical layer metadata of the aircraft operational reliability historical raw data set, respectively, further includes:
outputting the decision mechanism logic relation between any particle and the system, and performing feedback guidance on a preset reliability task set by the decision mechanism logic relation.
In one embodiment, the outputting the decision mechanism logic relationship between any particle and the system, and the feedback guidance on the preset reliability task set by using the decision mechanism logic relationship specifically includes:
respectively evaluating and suggesting system definition, credibility requirement/target definition, credibility requirement distribution and credibility analysis, and judging whether the task requirement or target is realized;
and if the task requirement or the target is achieved, ending the task, otherwise, returning to the corresponding task node to execute again.
In a second aspect, the present invention also provides an aircraft reliability data asset metadata decomposition device, comprising:
the acquisition module is used for acquiring an aircraft operation reliability historical original data set;
the determining module is used for respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set;
and the synthesis module is used for synthesizing the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set.
In one embodiment, the determining module is specifically configured to:
determining a preset proportion of availability;
determining the unavailable time in a preset task period based on the preset proportion of the availability, and classifying the unavailable time according to the AOA codes to obtain a reliability classification code and a maintainability classification code;
and comparing the reliability classification code with the maintainability classification code to obtain a plurality of gaps, sequencing the gaps, and determining to obtain the BIST according to a preset judgment threshold.
In one embodiment, the reliability class code and the serviceability class code have uniform physical properties.
In a third aspect, the present invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the aircraft reliability data asset metadata decomposition method as described in any one of the above when the program is executed.
In a fourth aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of an aircraft reliability data asset metadata decomposition method as described in any of the above.
According to the method and the device for decomposing the aircraft reliability data asset metadata, the aircraft reliability data asset is decomposed into the concept layer metadata, the logic layer metadata and the physical layer metadata, and the physical connotations of three types of data are unified based on unavailable time codes, so that the aim of data standard consistency is fulfilled.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a method for decomposing aircraft reliability data asset metadata provided by the present invention;
FIG. 2 is a generic credibility analysis decision mechanism logical layer model provided by the present invention;
FIG. 3 is a schematic diagram of an aircraft reliability data asset metadata decomposition device provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. 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.
In order to realize the unified thought, the invention provides a new aircraft reliability data asset metadata decomposition method. Metadata referred to herein is defined as data that describes data, descriptive information about data and information resources. Metadata (Metadata) is data (data about other data) describing other data, or structural data (structured data) for providing information about a certain resource. Metadata is data describing objects such as information resources or data, and is used for the purpose of: identifying a resource; evaluating the resource; tracking the change of the resource in the using process; the realization is simple and the management of a large amount of networking data is high-efficient; the method and the device realize effective discovery, searching, integrated organization and effective management of the used resources of the information resources.
FIG. 1 is a flow chart of a method for decomposing aircraft reliability data asset metadata, as shown in FIG. 1, comprising:
s1, acquiring an aircraft operation reliability historical original data set;
s2, respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set;
and S3, integrating the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set.
Specifically, firstly, an aircraft operation reliability historical original data set is obtained, and concept layer metadata, logic layer metadata and physical layer metadata are respectively defined. And the consistent physical connotation between these three types of data based on unavailable time encoding methods. Namely: what is a concept layer designed as KPP (Key Performance Parameter)? What are the two KSA (Key System Attribute)'s the logical layer design controlling? How many BIST (Build in self test) the physical layer design measures are at a minimum?
The invention decomposes the aircraft reliability data asset into concept layer metadata, logic layer metadata and physical layer metadata, unifies the physical connotations of three types of data based on unavailable time codes, and achieves the aim of data standard consistency.
Based on the above embodiment, step S2 in the method specifically includes:
determining a preset proportion of availability;
determining the unavailable time in a preset task period based on the preset proportion of the availability, and classifying the unavailable time according to the AOA codes to obtain a reliability classification code and a maintainability classification code;
and comparing the reliability classification code with the maintainability classification code to obtain a plurality of gaps, sequencing the gaps, and determining to obtain the BIST according to a preset judgment threshold.
Wherein the reliability classification code and the serviceability classification code have uniform physical properties.
In particular, the invention is realized by AOA (Aircraft Operational Availability) coding in order to realize the unification of physical consistency.
For example, kpp=availabilities=a=0.9999 (this number ranges between 0 and 1, the invention is not limited in any way);
determining the unavailable time as T (1-A) in a task period T;
then uniformly classifying the unavailable time T (1-A) according to the AOA codes, and controlling the failure rate and the repair rate in a classified manner to avoid the inconsistency of the physical meaning of the data;
finally, the differences between the failure rate and repair rate and task availability are ordered, thresholds are judged according to a predetermined baseline, and a BIST (Build in self test, real-time monitoring) is designed for the most critical equipment.
Based on any of the above embodiments, further comprising:
outputting the decision mechanism logic relation between any particle and the system, and performing feedback guidance on a preset reliability task set by the decision mechanism logic relation.
The method specifically includes the steps that a decision mechanism logic relation of any particle and a system is output, and feedback guidance is conducted on a preset reliability task set through the decision mechanism logic relation:
respectively evaluating and suggesting system definition, credibility requirement/target definition, credibility requirement distribution and credibility analysis, and judging whether the task requirement or target is realized;
and if the task requirement or the target is achieved, ending the task, otherwise, returning to the corresponding task node to execute again.
Specifically, the explicit credibility decision mechanism provided by the invention is shown in fig. 2, and needs system definition, credibility requirement/target definition, qualitative/quantitative credibility (penta) data analysis and review, feedback guidance design, development, acceptance, identification, service, maintenance, scrapping and other corresponding tasks.
When the task starts, performing evaluation and suggestion from system definition, credibility requirement/target definition, credibility requirement distribution and credibility analysis, judging whether the task requirement or target is realized, if the task requirement or target is realized, ending the task, otherwise, returning to the corresponding task node to perform execution again.
The differences between the failure rate and repair rate and task availability are sorted for the previous embodiment, and the minimum number of BISTs meeting the baseline requirement is obtained according to the predefined judgment threshold, i.e. the baseline value.
The invention decomposes the aircraft reliability data into the minimum information assets based on the metadata, and realizes the information uniformity of each layer through AOA coding.
The aircraft reliability data asset metadata decomposition device provided by the invention is described below, and the aircraft reliability data asset metadata decomposition device described below and the aircraft reliability data asset metadata decomposition method described above can be correspondingly referred to each other.
FIG. 3 is a schematic structural diagram of an aircraft reliability data asset metadata decomposition device provided by the invention, as shown in FIG. 3, comprising: an acquisition module 31, a determination module 32 and a synthesis module 33; wherein:
the acquisition module 31 acquires an aircraft operational reliability historical raw data set; the determining module 32 determines concept layer metadata, logical layer metadata, and physical layer metadata of the aircraft operational reliability historical raw data set, respectively; the integrating module 33 is configured to integrate the concept layer metadata, the logical layer metadata, and the physical layer metadata to obtain a metadata decomposition result set.
The invention decomposes the aircraft reliability data asset into concept layer metadata, logic layer metadata and physical layer metadata, unifies the physical connotations of three types of data based on unavailable time codes, and achieves the aim of data standard consistency.
Based on the above embodiment, the determining module 32 is specifically configured to:
determining a preset proportion of availability;
determining the unavailable time in a preset task period based on the preset proportion of the availability, and classifying the unavailable time according to the AOA codes to obtain a reliability classification code and a maintainability classification code;
and comparing the reliability classification code with the maintainability classification code to obtain a plurality of gaps, sequencing the gaps, and determining to obtain the BIST according to a preset judgment threshold.
Based on any of the above embodiments, the reliability class code and the serviceability class code have uniform physical properties.
Fig. 4 illustrates a physical schematic diagram of an electronic device, as shown in fig. 4, which may include: processor 410, communication interface 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other through communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform an aircraft reliability data asset metadata decomposition method comprising: acquiring an aircraft operation reliability historical original data set; respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set; and integrating the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method of aircraft reliability data asset metadata decomposition provided by the methods described above, the method comprising: acquiring an aircraft operation reliability historical original data set; respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set; and integrating the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which when executed by a processor is implemented to perform the above-provided aircraft reliability data asset metadata decomposition methods, the method comprising: acquiring an aircraft operation reliability historical original data set; respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set; and integrating the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; 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 technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. An aircraft reliability data asset metadata decomposition method, comprising:
acquiring an aircraft operation reliability historical original data set;
respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set;
synthesizing the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set;
the method for determining the concept layer metadata, the logic layer metadata and the physical layer metadata of the aircraft operation reliability historical original data set comprises the following steps of:
determining a preset proportion of availability;
determining the unavailable time in a preset task period based on the preset proportion of the availability, and classifying the unavailable time according to the AOA codes to obtain a reliability classification code and a maintainability classification code;
comparing the reliability classification code with the maintainability classification code to the availability to obtain a plurality of gaps, sequencing the gaps, and determining to obtain a BIST according to a preset judgment threshold;
the reliability classification code and the maintainability classification code have uniform physical properties;
the method for determining the concept layer metadata, the logic layer metadata and the physical layer metadata of the aircraft operation reliability historical original data set respectively further comprises the following steps:
outputting a decision mechanism logic relation between any particle and a system, and performing feedback guidance on a preset reliability task set by the decision mechanism logic relation;
the decision mechanism logic relation of any particle and the system is output, and the decision mechanism logic relation is used for carrying out feedback guidance on a preset reliability task set, and the method specifically comprises the following steps:
respectively evaluating and suggesting system definition, credibility requirement/target definition, credibility requirement distribution and credibility analysis, and judging whether the task requirement or target is realized;
and if the task requirement or the target is achieved, ending the task, otherwise, returning to the corresponding task node to execute again.
2. An aircraft reliability data asset metadata decomposition device, comprising:
the acquisition module is used for acquiring an aircraft operation reliability historical original data set;
the determining module is used for respectively determining concept layer metadata, logic layer metadata and physical layer metadata of the aircraft operation reliability historical original data set;
the synthesis module is used for synthesizing the concept layer metadata, the logic layer metadata and the physical layer metadata to obtain a metadata decomposition result set;
the determining module is specifically configured to:
determining a preset proportion of availability;
determining the unavailable time in a preset task period based on the preset proportion of the availability, and classifying the unavailable time according to the AOA codes to obtain a reliability classification code and a maintainability classification code;
comparing the reliability classification code with the maintainability classification code to the availability to obtain a plurality of gaps, sequencing the gaps, and determining to obtain a BIST according to a preset judgment threshold;
the reliability classification code and the maintainability classification code have uniform physical properties;
the determining module is further configured to:
outputting a decision mechanism logic relation between any particle and a system, and performing feedback guidance on a preset reliability task set by the decision mechanism logic relation;
the determining module is further configured to:
respectively evaluating and suggesting system definition, credibility requirement/target definition, credibility requirement distribution and credibility analysis, and judging whether the task requirement or target is realized;
and if the task requirement or the target is achieved, ending the task, otherwise, returning to the corresponding task node to execute again.
3. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of the aircraft reliability data asset metadata decomposition method of claim 1 when the computer program is executed by the processor.
4. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the aircraft reliability data asset metadata decomposition method of claim 1.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110298102.6A CN113051749B (en) | 2021-03-19 | 2021-03-19 | Aircraft reliability data asset metadata decomposition method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110298102.6A CN113051749B (en) | 2021-03-19 | 2021-03-19 | Aircraft reliability data asset metadata decomposition method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113051749A CN113051749A (en) | 2021-06-29 |
CN113051749B true CN113051749B (en) | 2024-03-08 |
Family
ID=76513995
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110298102.6A Active CN113051749B (en) | 2021-03-19 | 2021-03-19 | Aircraft reliability data asset metadata decomposition method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113051749B (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007011663A (en) * | 2005-06-30 | 2007-01-18 | Nippon Telegr & Teleph Corp <Ntt> | Information processor, information processing method, and information processing program |
CN102136034A (en) * | 2011-03-18 | 2011-07-27 | 北京航空航天大学 | Military aircraft reliability quantitative requirement demonstration method |
CN103529777A (en) * | 2013-09-30 | 2014-01-22 | 中国南方电网有限责任公司调峰调频发电公司 | Method and system for automatically setting reliability data of power equipment |
CN105184685A (en) * | 2015-10-13 | 2015-12-23 | 苏州热工研究院有限公司 | Usability evaluation method for nuclear power design phase |
CN111125841A (en) * | 2019-12-05 | 2020-05-08 | 山东超越数控电子股份有限公司 | Health assessment method for aircraft engine, computer device and storage medium |
CN111259515A (en) * | 2020-01-07 | 2020-06-09 | 珠海欧比特宇航科技股份有限公司 | Aircraft health management method and system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10861252B2 (en) * | 2018-01-23 | 2020-12-08 | Massoud Nakhkoob Niasar | Aircraft maintenance and aircraft reliability engineering software system |
-
2021
- 2021-03-19 CN CN202110298102.6A patent/CN113051749B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007011663A (en) * | 2005-06-30 | 2007-01-18 | Nippon Telegr & Teleph Corp <Ntt> | Information processor, information processing method, and information processing program |
CN102136034A (en) * | 2011-03-18 | 2011-07-27 | 北京航空航天大学 | Military aircraft reliability quantitative requirement demonstration method |
CN103529777A (en) * | 2013-09-30 | 2014-01-22 | 中国南方电网有限责任公司调峰调频发电公司 | Method and system for automatically setting reliability data of power equipment |
CN105184685A (en) * | 2015-10-13 | 2015-12-23 | 苏州热工研究院有限公司 | Usability evaluation method for nuclear power design phase |
CN111125841A (en) * | 2019-12-05 | 2020-05-08 | 山东超越数控电子股份有限公司 | Health assessment method for aircraft engine, computer device and storage medium |
CN111259515A (en) * | 2020-01-07 | 2020-06-09 | 珠海欧比特宇航科技股份有限公司 | Aircraft health management method and system |
Also Published As
Publication number | Publication date |
---|---|
CN113051749A (en) | 2021-06-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10235277B2 (en) | Method of detecting false test alarms using test step failure analysis | |
US11551105B2 (en) | Knowledge management using machine learning model trained on incident-knowledge relationship fingerprints | |
CN111240994B (en) | Vulnerability processing method and device, electronic equipment and readable storage medium | |
US9799007B2 (en) | Method of collaborative software development | |
CN106708738B (en) | Software test defect prediction method and system | |
CN109543891B (en) | Method and apparatus for establishing capacity prediction model, and computer-readable storage medium | |
US11868489B2 (en) | Method and system for enhancing data privacy of an industrial system or electric power system | |
US11449488B2 (en) | System and method for processing logs | |
CN113590451B (en) | Root cause positioning method, operation and maintenance server and storage medium | |
US20160306332A1 (en) | Graph Theory and Network Analytics and Diagnostics for Process Optimization in Manufacturing | |
CN111859047A (en) | Fault solving method and device | |
Xu et al. | Logdc: Problem diagnosis for declartively-deployed cloud applications with log | |
WO2019209231A2 (en) | System and method for creating recommendation of splitting and merging microservice | |
US20180012181A1 (en) | Method of collaborative software development | |
JP2022100301A (en) | Method for determining potential impact on computing device by software upgrade, computer program, and update recommendation computer server (recommendation of stability of software upgrade) | |
CN111209153B (en) | Abnormity detection processing method and device and electronic equipment | |
US20200175380A1 (en) | Automated feature generation for sensor subset selection | |
CN112700131A (en) | AB test method and device based on artificial intelligence, computer equipment and medium | |
Kang et al. | Predicting just‐in‐time software defects to reduce post‐release quality costs in the maritime industry | |
CN113051749B (en) | Aircraft reliability data asset metadata decomposition method and device | |
CN116821141A (en) | Data updating method, fault diagnosis method, electronic device, and storage medium | |
CN113850428A (en) | Job scheduling prediction processing method and device and electronic equipment | |
CN113239026B (en) | Cloud server and cloud data processing method based on same | |
CN114386767B (en) | Fault early warning method and system for power distribution operation and maintenance management system | |
US20240160754A1 (en) | Method and system for enhancing data privacy of an industrial system or electric power system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |