CN107505126B - Airborne product flight test testability evaluation method - Google Patents

Airborne product flight test testability evaluation method Download PDF

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CN107505126B
CN107505126B CN201710653106.5A CN201710653106A CN107505126B CN 107505126 B CN107505126 B CN 107505126B CN 201710653106 A CN201710653106 A CN 201710653106A CN 107505126 B CN107505126 B CN 107505126B
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CN107505126A (en
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郭丹
郝晓辉
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Xian Aircraft Design and Research Institute of AVIC
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Abstract

The invention discloses a method for evaluating the flight test testability of an airborne product, and belongs to the technical field of aviation test. Firstly, obtaining the number N of flight test samples, the diagnosis failure number c and the testability index requirement RL(ii) a And giving a confidence coefficient C; then, the minimum sample size N of the flight test is calculated according to a formula, if the number N of the flight test samples is larger than or equal to the minimum sample size N of the flight test, the number N of the flight test samples replaces N in the formula, and R is obtained through reverse calculationLAnd taking the evaluation value as the testability index evaluation value of the airborne product, otherwise, adopting a point estimation method to evaluate the testability index evaluation value r of the airborne product. The flight test testability evaluation method provided by the invention provides a reasonable and feasible sample size determination method and a confidence interval index evaluation method for outfield testability evaluation, and can truly and objectively evaluate the test level of the flight test of airborne products.

Description

Airborne product flight test testability evaluation method
Technical Field
The invention belongs to the technical field of aviation test, and particularly relates to a method for evaluating flight test testability of an airborne product.
Background
The airborne product flight test testability evaluation refers to a process of carrying out testability index evaluation by collecting and counting fault diagnosis events occurring in flight according to a certain evaluation method.
In the past, an index evaluation method for estimating the minimum sample size of 30 and a point in GJB2072 is adopted in the flight test testability evaluation method of various types of airborne products. The evaluation result given by the point estimation evaluation method is an exact value, but the point estimation evaluation method is certainly deviated from the true value of the testability index of the airborne product, so that the point estimation evaluation method is too absolute and cannot objectively reflect the testability level of the airborne product.
Disclosure of Invention
In order to solve the problems, the invention provides a method for evaluating the flight test testability of an airborne product, which mainly comprises the following steps:
step one, acquiring the number N of flight test samples, the diagnosis failure number c and the testability index requirement RL
Step two, giving a confidence coefficient C;
step three, calculating the minimum sample size n of the flight test according to a formula, wherein the formula is as follows:
Figure BDA0001368550690000011
step four, if the number N of the flight test samples is greater than or equal to the minimum number N of the flight test samples, replacing N in the formula in the step three with the number N of the flight test samples, taking the confidence C and the diagnosis failure number C as input, and calculating to obtain RLAnd as an evaluation value of the testability index of the airborne product, otherwise, evaluating by adopting a point estimation method, wherein the formula of the evaluation value r of the testability index of the airborne product obtained by evaluating by adopting the point estimation method is as follows:
wherein M is1Is the number of faults detected, M2Is the total number of failures.
Preferably, the flight test testability evaluation of the airborne product comprises calculating testability index evaluation values of a fault detection rate, a fault isolation rate and a false alarm rate.
Preferably, in the fourth step, M is used for calculating the fault detection rate1Means the number of faults correctly detected by a defined method, M2Is the total number of failures.
Preferably, in the fourth step, M is used for calculating the fault isolation rate1Means the number of failures of the line replaceable unit correctly isolated to be less than or equal to the fuzzy group by a specified method, M2This is the number of faults detected correctly by a prescribed method.
Preferably, in the fourth step, M is used for calculating the false alarm rate1Is the number of false alarms, M2Refers to the total number of fault indications at the same time.
The flight test testability evaluation method provided by the invention provides a reasonable and feasible sample size determination method and a confidence interval index evaluation method for outfield testability evaluation, and can truly and objectively evaluate the test level of the flight test of airborne products.
Drawings
Fig. 1 is a flow chart of a preferred embodiment of the airborne product flight test testability assessment method according to the invention.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below with reference to the accompanying drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only some, but not all embodiments of the invention. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience in describing the present invention and for simplifying the description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the scope of the present invention.
The flight test testability evaluation should be a probabilistic event and an interval estimation method should be adopted. Therefore, in order to objectively evaluate the flight test testability level of the airborne product, it is very urgent to develop an interval estimation method.
The invention relates to a method for evaluating the flight test testability of an airborne product, which mainly comprises the following steps as shown in figure 1:
step one, acquiring the number N of flight test samples, the diagnosis failure number c and the testability index requirement RL
Step two, giving a confidence coefficient C;
step three, calculating the minimum sample size n of the flight test according to a formula, wherein the formula is as follows:
it is understood that where i is a natural number;
step four, if the number N of the flight test samples is greater than or equal to the minimum number N of the flight test samples, replacing N in the formula in the step three with the number N of the flight test samples, taking the confidence C and the diagnosis failure number C as input, and calculating to obtain RLAnd as an evaluation value of the testability index of the airborne product, otherwise, evaluating by adopting a point estimation method, wherein the formula of the evaluation value r of the testability index of the airborne product obtained by evaluating by adopting the point estimation method is as follows:
Figure BDA0001368550690000032
wherein M is1Is the number of faults detected, M2Is the total number of failures.
In the invention, the testability evaluation of the flight test of the airborne product comprises the testability index evaluation values of the fault detection rate, the fault isolation rate and the false alarm rate. Thus, for calculating the failure detection rate, M1Means the number of faults correctly detected by a defined method, M2Is the total number of failures. For calculating fault isolation rate, M1Means the number of failures of the line replaceable unit correctly isolated to be less than or equal to the fuzzy group by a specified method, M2This is the number of faults detected correctly by a prescribed method. For calculating false alarm rate, M1Is the number of false alarms, M2Refers to the total number of fault indications at the same time.
In step one, the total number of fault diagnosis events counted in the flight test is used as the number of flight test samples N, for example, the number of fault detection test samples N1Fault isolation testNumber of samples N2Number of false alarm test samples N3. The total number of failure diagnosis failure events counted in the flight test is used as the diagnosis failure number c, such as the failure detection failure test sample number c1, the failure isolation failure test sample number c2, and the false alarm failure test sample number c 3. Taking the minimum acceptable value of the testability index in the testability requirement of the airborne product as RL
In the above embodiment, N, c, M1、M2All are statistical data of the external field test.
One specific example is as follows:
the total number 65 of the fault diagnosis events counted in the flight test is taken as the number N of the flight test samples.
The total number of failure diagnosis events 1 counted in the flight test is used as the diagnosis failure number c.
Taking the minimum acceptable value of the testability index of 0.95 in the testability requirement of the airborne product as RL
Under the condition that the given confidence coefficient C is 0.8, n is 59 according to the formula of the formula step three, and the minimum sample size of the flight test is obtained.
Because N65 is greater than N59, the testability index evaluation value R of the airborne product is calculated according to the formula in step threeL95.46%. Note that, in the present embodiment, the evaluation value R calculated by the point evaluation and the evaluation value R calculated by the above-described embodimentLAll refer to the testability index of the airborne product.
The flight test testability evaluation method provided by the invention provides a reasonable and feasible sample size determination method and a confidence interval index evaluation method for outfield testability evaluation, and can truly and objectively evaluate the test level of the flight test of airborne products.
Finally, it should be pointed out that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (5)

1. A method for evaluating the flight test testability of an airborne product is characterized by comprising the following steps:
step one, acquiring the number N of flight test samples, the diagnosis failure number c and the testability index requirement RL
Step two, giving a confidence coefficient C;
step three, calculating the minimum sample size n of the flight test according to a formula, wherein the formula is as follows:
Figure FDA0001368550680000011
step four, if the number N of the flight test samples is greater than or equal to the minimum number N of the flight test samples, replacing N in the formula in the step three with the number N of the flight test samples, taking the confidence C and the diagnosis failure number C as input, and calculating to obtain RLAnd as an evaluation value of the testability index of the airborne product, otherwise, evaluating by adopting a point estimation method, wherein the formula of the evaluation value r of the testability index of the airborne product obtained by evaluating by adopting the point estimation method is as follows:
Figure FDA0001368550680000012
wherein M is1Is the number of faults detected, M2Is the total number of failures.
2. The method according to claim 1, wherein the aircraft flight test testability assessment comprises calculating testability index assessment values of fault detection rate, fault isolation rate and false alarm rate.
3. The method for evaluating the flight test testability of an airborne product according to claim 2, wherein in the fourth step, the pairsFor calculating the failure detection rate, M1Means the number of faults correctly detected by a defined method, M2Is the total number of failures.
4. The method for evaluating the flight test testability of an airborne product according to claim 2, wherein in the fourth step, M is used for calculating the fault isolation rate1Means the number of failures of the line replaceable unit correctly isolated to be less than or equal to the fuzzy group by a specified method, M2This is the number of faults detected correctly by a prescribed method.
5. The method for evaluating the flight test testability of an airborne product according to claim 2, wherein in the fourth step, M is used for calculating the false alarm rate1Is the number of false alarms, M2Refers to the total number of fault indications at the same time.
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Inventor after: Guo Dan

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Inventor before: Hao Xiaohui