CN116151634B - Economic distribution method for overhaul cost of aero-engine - Google Patents
Economic distribution method for overhaul cost of aero-engine Download PDFInfo
- Publication number
- CN116151634B CN116151634B CN202310408925.9A CN202310408925A CN116151634B CN 116151634 B CN116151634 B CN 116151634B CN 202310408925 A CN202310408925 A CN 202310408925A CN 116151634 B CN116151634 B CN 116151634B
- Authority
- CN
- China
- Prior art keywords
- parts
- engine
- overhaul
- repair
- weighting
- 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 46
- 230000008439 repair process Effects 0.000 claims abstract description 62
- 238000012423 maintenance Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000013480 data collection Methods 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 3
- 238000011160 research Methods 0.000 description 5
- 238000005457 optimization Methods 0.000 description 3
- 230000003449 preventive effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- 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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an economic distribution method for overhaul cost of an aeroengine, which comprises the following steps of 1, determining weighting factors and weighting values of parts: for parts and componentsDetermined weighting factorScoring, marking the score as a weighted valueThe method comprises the steps of carrying out a first treatment on the surface of the Step 2, determining the failure rate of each part: the failure rate of each part during the factory return overhaul is calculated by combining the multiparty data, aiming at the partThe failure rate is recorded asThe method comprises the steps of carrying out a first treatment on the surface of the Step 3, calculating the weighted factor average value of all parts of the engineThe method comprises the steps of carrying out a first treatment on the surface of the Step 4, calculating the failure rate average value of all parts of the engineThe method comprises the steps of carrying out a first treatment on the surface of the Step 5, calculating comprehensive weighting coefficients of overhaul cost distribution of each part; step 6, distributing the overhaul cost control index of each part, wherein the partsThe overhaul cost control index of (2) is,. The economic distribution method of the overhaul cost of the aeroengine with the structure can determine the cost requirement of overhaul of each part of the engine, so that a repair shop can select a proper part repair method according to the cost requirement.
Description
Technical Field
The invention relates to the technical field of aircraft engine maintenance cost control, in particular to an economic distribution method of aircraft engine overhaul cost.
Background
With the development of domestic aeroengines, maintenance cost becomes an important cost expenditure project in the use process of aeroengines. Engine overhaul is an important way to restore engine performance and is also an important component of maintenance costs. Once the engine life is exhausted, it is necessary to timely replenish the life. Major repair is an important way to supplement the service life of engines. Engine overhaul is the complete and thorough repair of an engine when the engine flight time is close to the specified maximum service time and the performance and state of the engine continuously slide down, and is one of the most complex technologies in preventive maintenance, namely the highest-level preventive maintenance work, and is generally completed in a maintenance base or a factory. The aim of the overhaul is to restore the technical performance of the aeroengine. The content of the overhaul includes: the engine is disassembled, cleaned and checked, the discovered faults and defects are removed, unqualified parts are repaired or replaced, then the reassembly and the test are carried out, the specified maintenance work is completed, and finally the engine is packaged and delivered. The overhaul is a timing maintenance, and when an engine with a specified overhaul time limit is used, complete and thorough disassembly, reinstallation and test are required, and the engine is restored to a usable state according to the specified overhaul specification. In theory, after a return to the factory overhaul, the aero-engine can recover its original reliability level and performance level.
Reducing the overhaul cost of the engine is of great importance to the use efficiency of the equipment. In the overhaul process, the repair process of parts of the aeroengine is relatively fixed, but the repair cost of the repair mode, the repair man-hour and the like are quite different. The maintenance strategy is scientific, reasonable and effective in planning, and has important effects on accurately implementing the maintenance work of the aero-engine, quickly recovering and improving the performance of the engine under the constraint of cost.
The current research on an engine overhaul economy optimization method mainly focuses on two directions of adjusting the overhaul interval and adjusting the engine overhaul working range. The adjustment of the overhaul interval mainly starts from the aspects of fault data of engine parts, service life distribution functions of the engine parts, performance degradation degree and the like, and considers factors such as fault rate, repair time, repair cost and the like of the parts, and the optimal maintenance interval is determined with minimum maintenance cost as a target. The maintenance working range optimization method mainly focuses on the rationality of an engine overhaul scheme, and researches are carried out by utilizing various methods such as an attribute importance judging method, a variable precision rough set theory, SOM network discrete values, a genetic algorithm, a particle swarm algorithm and the like, so that the maintenance working range of the engine is more matched with the actual state of the engine.
In the existing optimization method, the main focus is on how to reduce the overhaul cost of the engine as much as possible by adjusting the overhaul work of the engine, the overhaul cost cannot be ensured to meet the cost control requirement, and the research result mostly stays at the theoretical level, and the research object mostly only comprises important parts of the engine, so that the current research result cannot be well applied to the actual overhaul of the engine, especially the whole engine or even the overhaul work of a certain model. For this reason, it is required to provide an economic allocation method of overhaul costs of an aeroengine to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide an economic distribution method for overhaul costs of an aeroengine, which is characterized in that on the premise of ensuring that the overhaul costs of the engine meet cost control requirements, the economic distribution method for the overhaul costs based on the overhaul rules of the engine is provided from the perspective of parts, the overall overhaul costs of the engine are reasonably distributed to all parts, and the cost requirements of the overhaul of all parts of the engine are defined, so that a repair shop can conveniently select a proper part maintenance method according to the cost requirements.
In order to achieve the above object, the present invention provides an economic allocation method for overhaul cost of an aeroengine, comprising the following steps:
Step 2, determining the failure rate of each part: aiming at the engine model to be distributed with cost economy, historical maintenance data collection and analysis work of each part is carried out, the failure rate of each part during factory return overhaul is calculated by combining multiparty data, and the failure rate of each part is aimed at the partThe failure rate is recorded as +.>;
Step 3, calculating the weighted factor average value of all parts of the engine: first, the components in step 1Weighting factor of->Weight value of +.>On the basis of which the component is calculated->Weighted sum +.>:
step 4, calculating the failure rate average value of all parts of the engine: the failure rate of each part of the engine in the step 2 is used for supporting data, the data are summed and averaged, and the average value of the failure rates of all parts of the engine is calculated:
step 5, calculating comprehensive weighting coefficients of overhaul cost distribution of each part: the weighted factor average value of all parts of the engine calculated in the step 3And the mean value of the failure rates of all parts of the engine calculated in the step four +.>Based on the calculation of the overhaul cost of each partAssigned comprehensive weighting coefficients, wherein the component ∈ ->Comprehensive weighting coefficient of overhaul cost allocation +.>The calculation method of (1) is as follows:
wherein ,the failure rate average value of all parts of the engine; />Representing parts->Is a weighted sum of (2); />Representing parts->Is a failure rate of (1); />A weight factor average value representing all parts of the engine;
step 6, distributing overhaul cost control indexes of all parts: performing economical allocation work on the engine overhaul cost control indexes by taking the comprehensive weighting coefficient of the overhaul cost allocation of each part calculated in the step 5 as a basis, allocating the engine overhaul cost control indexes to each part by using an allocation model, and calculating the overhaul cost control indexes of each part, wherein the parts areMajor repair cost control index->The calculation method of (1) is as follows:
wherein ,is a part->Comprehensive weighting coefficients of overhaul cost allocation; and C is an engine overhaul cost control index.
Preferably, the repair characteristics of the component itself are those that affect repair, including repair mode, repair depth, and repair procedure, determined by the material and structure of the component itself; the component functional factors are maintenance-affecting characteristics determined by the functions of the component itself, including the importance of the component, the influence on the safety of the engine, and the life of the component; in actual operation, proper repair characteristics of the parts and functional factors of the parts are required to be selected according to the characteristics of the parts and the engine.
Preferably, for partsDetermined weighting factor->The greater the weighting value is for the degree of influence of the repair characteristic on the repair costs>The higher; for parts->Determined weighting factor->In the case of a component function, the greater the degree of influence of the component function on the component or on the engine function is the weighting value +.>The higher.
Preferably, the parts are the smallest units which can be split in the actual overhaul work of the engine.
Therefore, the economic distribution method for the overhaul cost of the aero-engine with the structure has the following beneficial effects:
1. the influence of the repair characteristics and the functional factors of the parts on the repair cost of the parts is fully considered, the factors are scored to obtain weighted values, and the weighted values are used as one of the overhaul cost allocation references of the parts, so that the allocation values of the overhaul cost are more in line with the actual overhaul conditions and are more reasonable;
2. according to the invention, the control index of the overhaul cost of the engine is used as an economic distribution index, the economic distribution work is carried out, and the overhaul cost is controlled from the root;
3. the minimum unit body-parts of the actual overhaul of the engine are used as economic allocation objects of the overhaul cost, the overhaul cost value is allocated to each part, and a overhaul factory can select a reasonable part maintenance method according to the allocation value, so that the result of the allocation method has operability.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a logic diagram of an embodiment of an economic dispatch method for overhaul of an aircraft engine of the present invention.
Detailed Description
Embodiments of the present invention will be further described with reference to the accompanying drawings.
As shown in the figure, the method is used for solving the problem of cost control of overhaul of an aeroengine, and considers the repair characteristics of parts and the influence of the functional factors of the parts on the repair cost of the parts from the minimum repair unit-part level of the overhaul of the aeroengine, determines weighting factors and weighting values corresponding to the weighting factors, determines comprehensive weighting coefficients of the overhaul cost distribution of the parts based on the failure rate average value of all the parts of the engine and the weighting factor average value of all the parts of the calculated engine, and distributes the overhaul cost control index of the engine based on the comprehensive weighting coefficients of the overhaul cost distribution of the parts to obtain the overhaul cost control index of the parts. The method comprises the following specific steps:
the parts are the minimum units which can be split in the actual overhaul work of the engine, the maintenance method of the parts determines the maintenance cost, the selection of the maintenance method depends on the self-repair characteristic of the parts on one hand and also considers the functional factors of the parts on the other hand, so the weighting factors in the invention comprise the self-repair characteristic of the parts and the functional factors of the parts. The repair characteristics of the parts are characteristics which are determined by the materials and the structures of the parts and affect the repair, including repair modes, repair depths and repair procedures; component functional factors are maintenance affecting characteristics determined by the component's own function, including component importance, impact on engine safety, and component life. In actual operation, proper repair characteristics of the parts and functional factors of the parts are required to be selected according to the characteristics of the parts and the engine.
The parts are respectively marked as、/>、/>、…、/>Each weighting factor is marked +.>、/>、…、/>For parts->Determined weighting factor->Scoring, namely marking the score value as a weighted value +.>. For parts->Determined weighting factor->The greater the weighting value is for the degree of influence of the repair characteristic on the repair costs>The higher; for parts->Determined weighting factor->In the case of a component function, the greater the degree of influence of the component function on the component or on the engine function is the weighting value +.>The higher.
Step 2, determining the failure rate of each part:
the failure rate of the parts directly influences the maintenance modes of the parts, the cost generated by different maintenance modes is different, and determining the failure rate of the parts is a key for distributing overhaul cost. Aiming at the engine model to be distributed with cost economy, historical maintenance data collection and analysis work of each part is carried out, the failure rate of each part during factory return overhaul is calculated by combining multiparty data, and the failure rate of each part is aimed at the partThe failure rate is recorded as +.>;
Step 3, calculating the weighted factor average value of all parts of the engine: first, the components in step 1Weighting factor of->Weight value of +.>On the basis of which the component is calculated->Weighted sum +.>:
step 4, calculating the failure rate average value of all parts of the engine: the failure rate of each part of the engine in the step 2 is used for supporting data, the data are summed and averaged, and the average value of the failure rates of all parts of the engine is calculated:
step 5, calculating comprehensive weighting coefficients of overhaul cost distribution of each part: the weighted factor average value of all parts of the engine calculated in the step 3And the mean value of the failure rates of all parts of the engine calculated in the step four +.>Based on this, a comprehensive weighting factor for the allocation of the overhaul costs for the individual components is calculated, wherein the components ∈ ->Comprehensive weighting coefficient of overhaul cost allocation +.>Is calculated by the method of (a)The method comprises the following steps:
wherein ,the failure rate average value of all parts of the engine; />Representing parts->Is a weighted sum of (2); />Representing parts->Is a failure rate of (1); />A weight factor average value representing all parts of the engine;
step 6, distributing overhaul cost control indexes of all parts: performing economical allocation work on the engine overhaul cost control indexes by taking the comprehensive weighting coefficient of the overhaul cost allocation of each part calculated in the step 5 as a basis, allocating the engine overhaul cost control indexes to each part by using an allocation model, and calculating the overhaul cost control indexes of each part, wherein the parts areMajor repair cost control index->The calculation method of (1) is as follows:
wherein ,is a part->Comprehensive weighting coefficients of overhaul cost allocation; and C is an engine overhaul cost control index, and the cost generated in the maintenance process of the engine cannot exceed the engine overhaul cost control index.
Examples
The method is described by taking overhaul data of typical parts of an engine, such as a valve, a bearing casing, a gear, a bearing, a pipe joint and a blade as an example.
Step one, determining the weighting factors and the weighting values of the parts
One type of weighting factor repair characteristic affecting component repair in this embodiment includes repair mode, repair depth, and repair flow, where the repair mode of the component includes two types of replacement and repair; repair depths can be classified into a plurality of levels of complete repair, incomplete repair, and minimum repair; the repair procedure includes three repair steps, cleaning, inspection/verification, and repair. Another type of weighting factor that affects component repair—component functional factors include component importance and impact on engine safety.
Taking typical engine part valves, bearing cases, gears, bearings, pipe joints and blades as examples, taking 5 minutes as an upper limit value, scoring the weighting factors, wherein the scores are as follows:
step two, determining the failure rate of each part
And carrying out historical maintenance data collection and analysis work of each part, and calculating the failure rate of each part when the parts are subjected to major repair in a factory by combining multiparty data, wherein the calculation result is shown in the following table:
step three, the weighted factor average value of all parts of the engine
In the first stepWeight value of +.>On the basis of which a weighted sum of the individual components is calculated>Further obtain the weighted factor average value +.>The calculation results are shown in the following table:
step four, calculating the failure rate average value of all parts of the engine
Based on the failure rate of each part of the engine in the second step as data, the formula is utilizedCalculating to obtain the failure rate average value +.>0.65.
Step five, comprehensive weighting coefficient of overhaul cost distribution of each part
Using the calculation results in the first to fourth steps as data support, and using the formulaCalculating the comprehensive weighting coefficient of the overhaul cost distribution of each part>The calculation results are shown in the following table:
step six, distributing overhaul cost control indexes of all parts
The known control index of the overhaul cost of the engine is marked as 5 ten thousand yuan, and the weighting coefficient in the fifth step is usedBased on, use the formula ∈ ->Calculating the overhaul cost control index of the part, wherein the distribution result is as follows:
therefore, the invention adopts the economic distribution method of the overhaul cost of the aeroengine with the structure, on the premise of ensuring that the overhaul cost of the engine meets the cost control requirement, the level of a specific object part implemented by the overhaul work of the engine is taken as an economic distribution level, the control index of the overhaul cost of the engine is taken as an economic distribution index, the overhaul rule of the engine is taken as a standard flow of the overhaul of the engine, the economic distribution method of the overhaul cost based on the overhaul rule of the engine is provided from the angle of the part, the overhaul cost of the whole engine is reasonably distributed to each part, and the requirement of the overhaul cost of each part of the engine is defined, so that a repair shop can select a proper maintenance method of the part according to the requirement of the cost.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.
Claims (4)
1. An economic distribution method for overhaul cost of an aeroengine is characterized by comprising the following steps of: the method comprises the following steps:
step 1, determining weighting factors and weighting values of parts: the weighting factors include the repair characteristics of the component itself and the component function factors, and the components are respectively marked as、/>、/>、…、/>Each weighting factor is marked +.>、/>、…、For parts->Determined weighting factor->Scoring, namely marking the score value as a weighted value +.>;
Step 2, determining the failure rate of each part: aiming at the engine model to be distributed with cost economy, historical maintenance data collection and analysis work of each part is carried out, and the parts are calculated to be returned to factories in combination with multiparty dataFailure rate during repair of partsThe failure rate is recorded as +.>;
Step 3, calculating the weighted factor average value of all parts of the engine: first, the components in step 1Weighting factor of->Weight value of +.>On the basis of which the component is calculated->Weighted sum +.>:
step 4, calculating the failure rate average value of all parts of the engine: the failure rate of each part of the engine in the step 2 is used for supporting data, the data are summed and averaged, and the average value of the failure rates of all parts of the engine is calculated:
step 5, calculating comprehensive weighting coefficients of overhaul cost distribution of each part: the weighted factor average value of all parts of the engine calculated in the step 3And the failure rate average value of all parts of the engine calculated in the step fourBased on the calculation of the comprehensive weighting coefficient of the overhaul cost distribution of each partWherein the parts are->Comprehensive weighting coefficient of overhaul cost allocation +.>The calculation method of (1) is as follows:
wherein ,the failure rate average value of all parts of the engine; />Representing parts->Is a weighted sum of (2); />Representing parts->Is a failure rate of (1); />A weight factor average value representing all parts of the engine;
step 6, distributing overhaul cost control indexes of all parts: performing economical allocation work on the engine overhaul cost control indexes by taking the comprehensive weighting coefficient of the overhaul cost allocation of each part calculated in the step 5 as a basis, allocating the engine overhaul cost control indexes to each part by using an allocation model, and calculating the overhaul cost control indexes of each part, wherein the parts areMajor repair cost control index->The calculation method of (1) is as follows:
2. The method for economic dispatch of overhaul costs of an aircraft engine according to claim 1, characterized in that: the repair characteristics of the parts are characteristics which are determined by the materials and the structures of the parts and affect the repair, including repair modes, repair depths and repair procedures; the component functional factors are maintenance-affecting characteristics determined by the functions of the component itself, including the importance of the component, the influence on the safety of the engine, and the life of the component; in actual operation, proper repair characteristics of the parts and functional factors of the parts are required to be selected according to the characteristics of the parts and the engine.
3. The method for economic dispatch of overhaul costs of an aircraft engine according to claim 2, characterized in that: for parts and componentsDetermined weighting factor->The greater the weighting value is for the degree of influence of the repair characteristic on the repair costs>The higher; for parts->Determined weighting factor->In the case of a component function, the greater the degree of influence of the component function on the component or on the engine function is the weighting value +.>The higher.
4. The method for economic dispatch of overhaul costs of an aircraft engine according to claim 3, wherein: the parts are the minimum units which can be split in the actual overhaul work of the engine.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310408925.9A CN116151634B (en) | 2023-04-18 | 2023-04-18 | Economic distribution method for overhaul cost of aero-engine |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310408925.9A CN116151634B (en) | 2023-04-18 | 2023-04-18 | Economic distribution method for overhaul cost of aero-engine |
Publications (2)
Publication Number | Publication Date |
---|---|
CN116151634A CN116151634A (en) | 2023-05-23 |
CN116151634B true CN116151634B (en) | 2023-06-16 |
Family
ID=86356439
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310408925.9A Active CN116151634B (en) | 2023-04-18 | 2023-04-18 | Economic distribution method for overhaul cost of aero-engine |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116151634B (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102147889A (en) * | 2011-03-28 | 2011-08-10 | 北京航空航天大学 | System maintenance time distribution method based on operation decomposition |
KR20140038265A (en) * | 2012-09-20 | 2014-03-28 | 한국전력공사 | Fault management apparatus and fault management method of the same |
CN114819417A (en) * | 2022-06-28 | 2022-07-29 | 北京航空航天大学 | Aero-engine overhaul cost prediction method and system based on correlation between costs |
-
2023
- 2023-04-18 CN CN202310408925.9A patent/CN116151634B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102147889A (en) * | 2011-03-28 | 2011-08-10 | 北京航空航天大学 | System maintenance time distribution method based on operation decomposition |
KR20140038265A (en) * | 2012-09-20 | 2014-03-28 | 한국전력공사 | Fault management apparatus and fault management method of the same |
CN114819417A (en) * | 2022-06-28 | 2022-07-29 | 北京航空航天大学 | Aero-engine overhaul cost prediction method and system based on correlation between costs |
Non-Patent Citations (2)
Title |
---|
Cost adjustment for single item pooling models using a dynamic failure rate: A calculation for the aircraft industry;R. Fritzsche;Transportation Research Part E;1065–1079 * |
民用飞机直接维修成本分配模型研究;刘彦波 等;航空工程进展;第13卷(第3期);120-126 * |
Also Published As
Publication number | Publication date |
---|---|
CN116151634A (en) | 2023-05-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103513640B (en) | A kind of coal unit automatic electricity generation control system global optimization method and system | |
CN112398115B (en) | Multi-time-scale thermal power-photovoltaic-pumped storage joint optimization scheduling scheme based on improved model predictive control | |
Denholm et al. | The value of CSP with thermal energy storage in the western United States | |
CN113095591B (en) | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit | |
CN105656025A (en) | Method of increasing wind power absorption capability | |
CN112803501B (en) | Self-optimizing auxiliary frequency modulation method for thermal power generating unit based on machine learning algorithm | |
CN106485596A (en) | A kind of controller switching equipment Strategies of Maintenance optimization method | |
CN113987934A (en) | Multi-unit multi-mode heat supply power plant operation comprehensive evaluation method based on fuzzy analysis | |
CN111754030A (en) | Thermal power generating unit power supply coal consumption optimization method based on HAC and RF-GA | |
CN116151634B (en) | Economic distribution method for overhaul cost of aero-engine | |
CN102682348A (en) | Complex equipment component maintenance level optimization system and establishing method of thereof | |
CN109358587A (en) | A kind of Condition-based Maintenance of Hydroelectric Sets decision-making technique and system | |
CN114082988A (en) | Method for repairing aero-engine cold and hot end blade | |
CN106251088A (en) | A kind of integrated evaluating method for natural gas cooling heating and power generation system | |
CN106354999B (en) | A kind of inline diagnosis method of fired power generating unit load oscillation and sudden load change failure | |
CN117132144A (en) | Mechanical unit use availability estimation method and system considering maintenance time consumption | |
CN113255238B (en) | Fuel gas utilization rate prediction method and system based on hybrid neural network | |
CN115169130A (en) | Real-time optimization scheduling method and system suitable for autonomous optimization operation of thermal power plant | |
CN113554336A (en) | Evaluation method of ship manufacturing process | |
Wu et al. | Reliability Allocation of Adjusting Mechanism of Variable Geometry Turbine Based on Improved Agree Method | |
Riswanto et al. | Maintenance cost optimization on reliability centered maintenance based on failure rate on flash gas compression system | |
Lin et al. | Reliability analysis and optimization of turbocharger turbine of marine low speed diesel engine under complex load | |
Pietsch et al. | Investigating real-world applications of transient optimization | |
Li et al. | Research on comprehensive method of equipment update decision | |
Jiang et al. | Innovation and Application of Reliability-Centered Maintenance Technology for Pumped Storage Power Plant |
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 |