CN104021253A - Reliability modeling method for special vehicle lubricating oil supply system - Google Patents
Reliability modeling method for special vehicle lubricating oil supply system Download PDFInfo
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Abstract
The invention discloses a reliability modeling method for a special vehicle lubricating oil supply system and belongs to the technical field of mathematical modeling. The reliability modeling method carries out reliability modeling of the special vehicle lubricating oil supply system under the situation of taking the flowing direction and the multi-mode characteristic of oil into consideration according to the features of the aim of reliability of the special vehicle lubricating oil supply system, and the complex reliability logical relationship between an oil supply branch and an overpressure oil return branch is reasonably described in a model. Particularly, the influence of the oil state on the reliability of the system and the complex reliability logical relationship between units are described through user-defined operational characters, the transfer direction of the oil is represented through directed connecting lines between the operational characters, and therefore the reliability model of the special vehicle lubricating oil supply system is built on the basis of a task success stream of the special vehicle lubricating oil supply system, and the confidence level of the reliability model is increased.
Description
Technical field
The present invention relates to mathematical modeling technology field, particularly relate to a kind of Reliability Modeling of special vehicle lubricating oil feed system.
Background technology
The major function of special vehicle lubricating oil feed system is to continue to provide fluid with stable oil pressure to the complex appts such as engine, transmission case, is generally made up of oil sump, oil pump, multi-grade oil filter, pressure oil tank, constant pressure valve, pipeline etc.Typical special vehicle lubricating oil feed system principle as shown in Figure 1.
Oil pump P1, by the lubricating oil input pressure fuel tank U2 in oil sump U1, realizes then to special vehicle hydraulic and lubricating system fuel feeding.Between oil sump U1 and oil pump P1, two thick oil filter LF1, LF2 in parallel of operated by rotary motion, filter for the first time to fluid; An essential oil filter LF3 is set between oil pump P1 and pressure oil tank U2, fluid is filtered for the second time; In the time that in pressure oil tank U2, oil liquid pressure is higher than upper safety limit, constant pressure valve RV opens, and a part of fluid, by superpressure loop transport oil return drain pan U1, is reached to pressure release effect.
Reliability model is the model for reliability logic relation between expression system and component units thereof, adopts at present block-scheme method to carry out Reliability modeling, the logical relation in descriptive system between each unit and between system and elementary cell.Model is generally made up of square frame and line, box indicating system component units, and the connected mode between square frame represents reliability logic relation.The logical relation that block-scheme method can clearly represent comprises: series, parallel, other connection, voting.At present, utilize block-scheme method set up special vehicle lubricating oil feed system reliability model as shown in Figure 2.
In Fig. 1, two thick oil filter LF1 have one normally to work and just can ensure that lubricating oil feed system is in normal condition with LF2, and reliability logic relation is pressed parallel processing; Constant pressure valve RV and system specific works state are closely related, in order to use block diagram formal description, it are pressed to the processing of connecting with the reliability logic relation between other unit.Represent the probability of success with P, in Fig. 2, Reliable Mathematics model corresponding to special vehicle lubricating oil feed system reliability block diagram model is:
P (system)=P (U1) * 1-[1-P (LF1)] [1-P (LF2)] } * P (P1) * P (LF3) * P (U2) * P (RV) (1)
The above-mentioned reliability model that utilizes block-scheme method to set up thinks that the duty of system is only relevant with each location mode, and reliability between each unit is obeyed the separate logical relation such as series, parallel, other connection.This does not conform to the feature of special vehicle lubricating oil feed system, makes a concrete analysis of as follows:
(1) duty of special vehicle lubricating oil feed system not only depends on the state of each unit, and relevant with fluid state.In the feed system of special lubricating oil shown in Fig. 1, whether superpressure loop is in running order is not by the Determines of each unit, but determined by the oil liquid pressure in pressure oil tank, reliability block diagram model can not be considered the impact of oil pressure state on system reliability;
(2) between some unit reliability of special vehicle lubricating oil feed system, there is complicated correlativity, be difficult to represent by simple logic relations such as series, parallel, other connection, votings.In reliability block diagram model shown in Fig. 2, between constant pressure valve RV and other unit, it is series relationship, once think that constant pressure valve RV is damaged, system cannot be worked, in fact in the time that in pressure oil tank, pressure is no more than upper safety limit, even if constant pressure valve RV damages system and still can normally work, this type of integrity problem can not be described by the logical relation in Diagram Model.
Can find out, the reliability model of setting up by block-scheme method, cannot truly describe the integrity problem of special vehicle lubricating oil feed system, and model credibility is lower.Therefore, how to provide a kind of Reliability Modeling that is applicable to special vehicle lubricating oil feed system, become technical matters urgently to be resolved hurrily to improve the confidence level of reliability model.
Summary of the invention
(1) technical matters that will solve
The technical problem to be solved in the present invention is: for defect of the prior art, provide a kind of Reliability Modeling that is applicable to special vehicle lubricating oil feed system, to improve the confidence level of reliability model.
(2) technical scheme
In order to solve the problems of the technologies described above, the invention provides a kind of Reliability Modeling of special vehicle lubricating oil feed system, comprise the following steps:
S1, definition special vehicle lubricating oil feed system reliable operation symbol, described operational character is made up of figure and arrow, in described figure, show operator types with letter, described arrow represents the input/output relation of Mission Success stream signal, represent operational character itself with letter C, alphabetical S represents operational character input signal, and letter r represents operational character output signal, multiple while inputing or outputing signal when existing, distinguish by increase numeral after letter; Described operator types comprises tetra-kinds of a, b, c, d;
Operator types a, for describing the unit that signal output is only provided, i.e. signal generating unit, the probability P of described signal generating unit Mission Success
rfor the normal probability P of operational character
c, mathematical model corresponding to type a operational character is:
P
R=P
C (2)
Operator types b, for describing single input, single reliability unit of exporting, only having " normally " and " inefficacy " two states, i.e. single input-output unit, the probability of Mission Success is the probability of success P that output signal R is corresponding
r, for two state cells, P
requal the successful probability P of input signal
sbe multiplied by the normal probability P of operational character
c, mathematical model corresponding to type b operational character is:
P
R=P
S*P
C (3)
Operator types c, for describing reliability relation in parallel, i.e. logical relation "or", the Probability Of Mission Success of logical relation OR operation symbol is the probability of success P that output signal R is corresponding
r, mathematical model corresponding to type c operational character is:
P
R=P
S1+P
S2-P
S1*P
S2 (4)
Wherein, alphabetical S1, S2 represent existing two operational character input signals, P
s1, P
s2represent respectively the successful probability of input signal S1, S2;
Operator types d is divided into the phenomenon of fuel feeding branch road and superpressure oil return branch road for describing fluid from pressure oil tank flows out; Except malfunction, input S has two kinds of normal operating conditionss, be normal pressure duty and superpressure duty, be designated as respectively S (I), S (II), normal pressure duty Types Below d operational character only has an output R1, and Probability Of Mission Success is the probability of success that output signal R1 is corresponding; Superpressure duty Types Below d operational character has two output R1 and R2, wherein R1 is the output of fuel feeding branch road, R2 is superpressure oil return branch road output, and R1, R2 be always simultaneously in output success status or output malfunction, and mathematical model corresponding to type d operational character is so:
S2, the operational character of utilizing step S1 definition and Mission Success flow to sets up special vehicle lubricating oil feed system reliability model figure, and in described illustraton of model, use pattern a operational character represents oil sump fuel feeding; Use pattern b operational character represents oil filter LF1, oil filter LF2, oil filter LF3, pump P1, pressure oil tank U2 and constant pressure valve RV; Use pattern c operational character represents the relation in parallel between oil filter LF1 and LF2; Use pattern d operational character represents the logical relation between fuel feeding branch road and superpressure oil return branch road and fluid state, the numbering of the each section of fluid signal stream of numeral in illustraton of model on each oriented line;
S3, the system reliability model figure that utilizes operational character algorithm and step S2 the to set up special vehicle lubricating oil feed system Reliable Mathematics model of deriving.
Preferably, step S3 is specially: from fluid start point signal, calculate successively each fluid signal according to formula (2) to algorithm corresponding to each operational character shown in formula (5) and flow the corresponding probability of success, flow the corresponding probability of success according to described each fluid signal and calculate normal pressure duty system dependability and superpressure duty system dependability, described normal pressure duty system dependability and superpressure duty system dependability are added to the fiduciary level that obtains lubricating oil feed system.
(3) beneficial effect
The present invention is directed to the feature of special vehicle lubricating oil feed system integrity problem, the flow direction of fluid and multimode characteristic, carry out special vehicle lubricating oil feed system Reliability modeling in the case of having considered, and in model, the complicated reliability logic relation between fuel feeding branch road and superpressure oil return branch road is carried out to reasonable description, particularly, it accords with by self-defining operation the complicated reliability logic relation between the impact on system reliability of fluid state and each unit of describing, and utilize the oriented line between operational character to represent that fluid transmission flows to, thereby the Mission Success stream based on special vehicle lubricating oil feed system has been set up the reliability model of special vehicle lubricating oil feed system, improve the confidence level of reliability model.
Brief description of the drawings
Fig. 1 is special vehicle lubricating oil feed system fundamental diagram;
Fig. 2 is special vehicle lubricating oil feed system reliability block diagram model in prior art;
Fig. 3 is the type a operational character that the present invention defines;
Fig. 4 is the type b operational character that the present invention defines;
Fig. 5 is the type c operational character that the present invention defines
Fig. 6 is the type d operational character that the present invention defines;
Fig. 7 is the lubricating oil feed system reliability model flowing to based on Mission Success that utilizes the inventive method to obtain.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used for illustrating the present invention, but are not used for limiting the scope of the invention.
The Reliability Modeling that the invention provides a kind of special vehicle lubricating oil feed system, comprises the following steps:
S1, definition special vehicle lubricating oil feed system reliable operation symbol
Operational character is made up of the common figures such as circle, triangle, rectangle and arrow, in figure, show operator types with letter, arrow represents the input/output relation of Mission Success stream signal, agreement represents operational character itself with letter C, letter S represents operational character input signal, letter r represents operational character output signal, in the time there is multiple input/output signal, is distinguished by increase numeral after letter.Operator types comprises tetra-kinds of a, b, c, d:
1) operator types a---signal generating unit
The unit that signal output is only provided for wet goods for describing oil sump, its operational character as shown in Figure 3.
The probability P of signal generating unit Mission Success
rfor the normal probability P of operational character
c, mathematical model corresponding to type a operational character is:
P
R=P
C (2)
2) operator types b---single input-output unit
Be used for the reliability unit of describing list input, single outputs such as oil pump, oil filter, valve, only having " normally " and " inefficacy " two states, its operational character as shown in Figure 4.
Probability Of Mission Success is the probability of success P that output signal R is corresponding
r, for two state cells, P
requal the successful probability P of input signal
sbe multiplied by the normal probability P of operational character
c, mathematical model corresponding to type b operational character is:
P
R=P
S*P
C (3)
3) operator types c---logical relation "or"
Be used for describing reliability relation in parallel, its operational character as shown in Figure 5.
The Probability Of Mission Success of logical relation OR operation symbol is the probability of success P that output signal R is corresponding
r, mathematical model corresponding to type c operational character is:
P
R=P
S1+P
S2-P
S1*P
S2 (4)
Letter S1, S2 represent existing two operational character input signals, P
s1, P
s2represent respectively the successful probability of input signal S1, S2.
4) operator types d---multimode signal separates
The phenomenon that is divided into fuel feeding branch road and superpressure oil return branch road for describing fluid from pressure oil tank flows out, operational character as shown in Figure 6.Wherein R1 is the output of fuel feeding branch road, and R2 is the output of superpressure oil return branch road.
Except malfunction, input S has two kinds of normal operating conditionss, i.e. normal pressure duty and superpressure duty, is designated as respectively S (I), S (II).Normal pressure duty Types Below d operational character only has an output R1, and Probability Of Mission Success is the probability of success that output signal R1 is corresponding; Superpressure duty Types Below d operational character has two outputs R1 and R2, and R1, R2 be always simultaneously in output success status or output malfunction, and mathematical model corresponding to type d operational character is so:
S2, the operational character of utilizing step S1 definition and Mission Success flow to draws special vehicle lubricating oil feed system reliability model figure
According to Fig. 1 lubricating oil feed system principle, flow to and carry out Reliability modeling based on Mission Success.Use pattern a operational character (signal generating unit) represents oil sump fuel feeding; Use pattern b operational character (single input-output unit) represents oil filter LF1, oil filter LF2, oil filter LF3, pump P1, pressure oil tank U2, constant pressure valve RV; Use pattern c operational character (logical relation "or") represents the relation in parallel between oil filter LF1 and LF2; Use pattern d operational character (separation of multimode signal) represents the logical relation between fuel feeding branch road and superpressure oil return branch road and fluid state.Set up special vehicle lubricating oil feed system reliability model as shown in Figure 7, in figure, operational character internal alphabet shows operator types, the numbering that the each section of fluid signal of numeral on each oriented line flows to.
S3, the system reliability model figure that utilizes operational character algorithm and step S2 the to set up special vehicle lubricating oil feed system Reliable Mathematics model of deriving
The fiduciary level of special vehicle lubricating oil feed system is that in Fig. 7, fluid signal is exported successful probability.The probability of success of the i article of fluid flow direction is P (i), from fluid start point signal, calculate successively each fluid signal according to algorithm corresponding to each operational character shown in formula (2)-Shi (5) and flow the corresponding probability of success, finally obtain the fiduciary level of lubricating oil feed system.Concrete derivation is as follows:
1) by formula (2) the fiduciary level of fluid signal stream 1,2 correspondences
P(1)=P(2)=P(U1) (6)
2) by formula (3) the fiduciary level of fluid signal stream 3,4 correspondences
P(3)=P(1)*P(LF1) (7)
P(4)=P(2)*P(LF2) (8)
3) by formula (4) fluid signal flows the fiduciary level of 5 correspondences
P(5)=P(3)+P(4)-P(3)*P(4) (9)
4) by formula (3) the fiduciary level of fluid signal stream 6,7,8 correspondences
P(6)=P(5)*P(P1) (10)
P(7)=P(6)*P(LF3) (11)
P(8)=P(7)*P(U2) (12)
5) fluid signal stream 8 has atmospheric pressure state I and superpressure state I I, and the probability that note two states occurs is respectively P (I) and P (II).Under normal pressure duty, system is output as fluid signal stream 9, obtains now system dependability to be by formula (5):
P
R(I)=P(8)*P(I) (13)
Under superpressure duty, system is output as oily signal stream 9 and fluid signal stream 11, wherein also passed through fluid signal stream 10 and two state cell constant pressure valve RV from 8 to 11 of fluid signal streams, so by formula (5) and formula (3) now system dependability be:
P
R(II)=P(8)*P(II)*P(RV) (14)
6) special vehicle lubricating oil feed system fiduciary level is normal pressure duty and superpressure duty system dependability sum:
P
R=P
R(I)+P
R(II) (15)
The system of equations that formula (6)-Shi (15) forms is special vehicle lubricating oil feed system Reliable Mathematics model.
Taking a kind of special vehicle lubricating oil feed system as example, the reliability model proposing according to the present invention in traditional reliability model and Fig. 7 in Fig. 2 respectively carries out Reliability Prediction of System, and result is contrasted below.Basic unit's reliability information under this special vehicle lubricating oil feed system steady-working state is as shown in table 1.
Table 1X type special vehicle lubricating oil feed system basic unit reliability information
By data substitution formula (1) in table 1, obtaining the special vehicle lubricating oil feed system Reliability Prediction value that traditional reliability model is corresponding is 0.9811, by the system of equations that in table 1, data substitution formula (6)-Shi (15) forms, special vehicle lubricating oil feed system Reliability Prediction value corresponding to reliability model that obtains the present invention's proposition is 0.9853.
Utilize a kind of special vehicle lubricating oil feed system Reliability Prediction value that reliability model that the present invention proposes obtains higher than traditional reliability model, reason is the impact that traditional reliability model can not be described fluid state, and can only, by constant pressure valve RV and other reliability unit according to series system processing, in its corresponding system success probability, not comprise constant pressure valve RV fault but the situation of system in normal pressure duty.
Therefore,, from special vehicle lubricating oil feed system Reliability Prediction angle, the present invention has improved the shortcoming that traditional reliability model is too guarded, and more conforms to engineering reality.
As can be seen from the above embodiments, the present invention is directed to the feature of special vehicle lubricating oil feed system integrity problem, the flow direction of fluid and multimode characteristic, carry out special vehicle lubricating oil feed system Reliability modeling in the case of having considered, and in model, the complicated reliability logic relation between fuel feeding branch road and superpressure oil return branch road is carried out to reasonable description, particularly, it accords with by self-defining operation the complicated reliability logic relation between the impact on system reliability of fluid state and each unit of describing, and utilize the oriented line between operational character to represent that fluid transmission flows to, thereby the Mission Success stream based on special vehicle lubricating oil feed system has been set up the reliability model of special vehicle lubricating oil feed system, improve the confidence level of reliability model.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, do not departing under the prerequisite of the technology of the present invention principle; can also make some improvement and replacement, these improvement and replacement also should be considered as protection scope of the present invention.
Claims (2)
1. a Reliability Modeling for special vehicle lubricating oil feed system, is characterized in that, comprises the following steps:
S1, definition special vehicle lubricating oil feed system reliable operation symbol, described operational character is made up of figure and arrow, in described figure, show operator types with letter, described arrow represents the input/output relation of Mission Success stream signal, represent operational character itself with letter C, alphabetical S represents operational character input signal, and letter r represents operational character output signal, multiple while inputing or outputing signal when existing, distinguish by increase numeral after letter; Described operator types comprises tetra-kinds of a, b, c, d;
Operator types a, for describing the unit that signal output is only provided, i.e. signal generating unit, the probability P of described signal generating unit Mission Success
rfor the normal probability P of operational character
c, mathematical model corresponding to type a operational character is:
P
R=P
C (1)
Operator types b, for describing single input, single reliability unit of exporting, only having " normally " and " inefficacy " two states, i.e. single input-output unit, the probability of Mission Success is the probability of success P that output signal R is corresponding
r, for two state cells, P
requal the successful probability P of input signal
sbe multiplied by the normal probability P of operational character
c, mathematical model corresponding to type b operational character is:
P
R=P
S*P
C (2)
Operator types c, for describing reliability relation in parallel, i.e. logical relation "or", the Probability Of Mission Success of logical relation OR operation symbol is the probability of success P that output signal R is corresponding
r, mathematical model corresponding to type c operational character is:
P
R=P
S1+P
S2-P
S1*P
S2 (3)
Wherein, alphabetical S1, S2 represent existing two operational character input signals, P
s1, P
s2represent respectively the successful probability of input signal S1, S2;
Operator types d is divided into the phenomenon of fuel feeding branch road and superpressure oil return branch road for describing fluid from pressure oil tank flows out; Except malfunction, input S has two kinds of normal operating conditionss, be normal pressure duty and superpressure duty, be designated as respectively S (I), S (II), normal pressure duty Types Below d operational character only has an output R1, and Probability Of Mission Success is the probability of success that output signal R1 is corresponding; Superpressure duty Types Below d operational character has two output R1 and R2, wherein R1 is the output of fuel feeding branch road, R2 is superpressure oil return branch road output, and R1, R2 be always simultaneously in output success status or output malfunction, and mathematical model corresponding to type d operational character is so:
S2, the operational character of utilizing step S1 definition and Mission Success flow to sets up special vehicle lubricating oil feed system reliability model figure, and in described illustraton of model, use pattern a operational character represents oil sump fuel feeding; Use pattern b operational character represents oil filter LF1, oil filter LF2, oil filter LF3, pump P1, pressure oil tank U2 and constant pressure valve RV; Use pattern c operational character represents the relation in parallel between oil filter LF1 and LF2; Use pattern d operational character represents the logical relation between fuel feeding branch road and superpressure oil return branch road and fluid state, the numbering of the each section of fluid signal stream of numeral in illustraton of model on each oriented line;
S3, the system reliability model figure that utilizes operational character algorithm and step S2 the to set up special vehicle lubricating oil feed system Reliable Mathematics model of deriving.
2. the Reliability Modeling of special vehicle lubricating oil feed system as claimed in claim 1, it is characterized in that, step S3 is specially: from fluid start point signal, calculate successively each fluid signal according to formula (1) to algorithm corresponding to each operational character shown in formula (4) and flow the corresponding probability of success, flow the corresponding probability of success according to described each fluid signal and calculate normal pressure duty system dependability and superpressure duty system dependability, described normal pressure duty system dependability and superpressure duty system dependability are added to the fiduciary level that obtains lubricating oil feed system.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106194899A (en) * | 2016-08-22 | 2016-12-07 | 中国北方车辆研究所 | There is level pressure element system reliability determination method |
CN108182307A (en) * | 2017-12-19 | 2018-06-19 | 中国北方车辆研究所 | A kind of determining method of special vehicle multifunction system average repair time |
CN110701288A (en) * | 2019-09-12 | 2020-01-17 | 珠海格力电器股份有限公司 | RV reducer for displaying lubricating states of cycloidal teeth and pin teeth and displaying method |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050218903A1 (en) * | 2004-03-31 | 2005-10-06 | Taxas Instruments Incorported | Voltage waveform generation circuit |
CN103020713A (en) * | 2012-11-19 | 2013-04-03 | 山东大学 | Intelligent substation fault diagnosis method combining topology and relay protection logic |
-
2014
- 2014-06-19 CN CN201410275740.6A patent/CN104021253B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050218903A1 (en) * | 2004-03-31 | 2005-10-06 | Taxas Instruments Incorported | Voltage waveform generation circuit |
CN103020713A (en) * | 2012-11-19 | 2013-04-03 | 山东大学 | Intelligent substation fault diagnosis method combining topology and relay protection logic |
Non-Patent Citations (3)
Title |
---|
丁素芳等: "基于GO法的装载机液压系统的可靠性研究", 《现代制造工程》 * |
王秋芳等: "综合传动装置可靠性建模与分析方法研究", 《 2013年全国机械行业可靠性技术学术交流会暨第四届可靠性工程分会第五次全体委员大会论文集》 * |
陈志诚等: "基于可靠性框图的可靠性建模研究", 《工程设计学报》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106194899A (en) * | 2016-08-22 | 2016-12-07 | 中国北方车辆研究所 | There is level pressure element system reliability determination method |
CN106194899B (en) * | 2016-08-22 | 2017-10-13 | 中国北方车辆研究所 | With level pressure element system reliability determination method |
CN108182307A (en) * | 2017-12-19 | 2018-06-19 | 中国北方车辆研究所 | A kind of determining method of special vehicle multifunction system average repair time |
CN110701288A (en) * | 2019-09-12 | 2020-01-17 | 珠海格力电器股份有限公司 | RV reducer for displaying lubricating states of cycloidal teeth and pin teeth and displaying method |
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