Academic Open Internet Journal
www.acadjournal.com
Volume 4, 2001

 
STRATEGY FOR OPTIMAL TECHNICAL SERVICE OF AIRCRAFTS
 
  Nikolay Ivanov Petrov Ph. D.
 
  Aviation research base of Bulgarian military Airforces
 
  nikipetrov@lycos.com



Abstract: Technical service(TS) of air-crafts in the Bulgarian military airforces concerns with a regular control of the intensity of failure flow, determining the depletion of their technical resource [1]. The systems for technical service(STS) of aviation equipment of aircrafts are reviewed in [2]. The most-widespred of them is the STS for conditioning which is characterized by control of the working ability(CWA) of basic parameters(BP) at a particular reliability level(possibility for faultless operating or permissible value of BP) of aviation systems(AS) and STS for workout characterized by periodical execution(at a particular level of workout) of regulation work, intermediate and basic repairs of AS of which CWA Is financially unacceptable or impossible in the process of air and technical exploitation. A mixed STS(MSTS) is suggested in the paper, which is a modification of TS for conditioning and is characterized by periodical CWA For BP at a particular level of reliability (possibility for faultless operating or permissible value of BP) of AS, while these AS of which CWA is financially inacceptable and define the safety of the flights are serviced by workout.
  Key-words: technical service, air-crafts in the Bulgarian military airforces, technical resource, systems for technical service, control of the working ability, technical exploitation.
 
  Introduction: MSTS allow the optimization of the expenses for exploitation while averaging the multiple realizations of the process of service so it is statistically optimal. It allows the usage of minimaximal approach. For optimization of TS, while guaranteeing the best result at worst distribution of time for faults of AS. All this is a reason to consider the MSTS as a minimaximal(optimal) srategy for technical service of aircrafts. 2. Demonstration for the above assumption is: Lets introduce the following setting: Setting – A. A system for TS(STS) of aircraft , is a rule, according to which the moments for execution of CWA -  are defined. TS is planned in the time interval , where  is the techniucal reource of the aircraft until the end of its technical exploitation(TE)[1]. The first CWA is done in moment , and the last one in the moment . According to [2] the full average loses(expenses) of time - are defined at the reviewed STS - . As  is a random value, it is characterized by its mathematical expectancy  defined according to [2]:
(1)
where: -mathematical expectancy of the full average financial and time loses(expences); - average value of the losses with one CWA; - losses of finances while determining the AS in a condition of hidden fault; - conditional possibility for “false fault” in the interval ; - conditional possibility for “inability to find a fault” in the interval ; - average value of loses at a repeated CWA(RCWA). Setting - B. One STS - , is called minimaximal if condition [2] is satisfied:
, (2)
where: - multitude of composition of moments çà CWA; - the worst possible function of distribution of the times for ÊÐ;
- multitude of fuctions for distribution.
Lets define the worst possible function for distribution  from the multitude . The expression, which is argument of the integral in equation (1) is marked with the following function:
(3)
where: ,- function, defining the loses caused by faults of AS after the ê-th CWA. After each distribution function  from multitude A, the following inequality are satisfied:
(4)
where:  - mathematical expectancy of the loses of the usage of corresponding STS. Equation (4) means that for each STS -  is correct. The equation:
. (5)
Therefore the worst possible function of distribution  of the time until fault of AS(found in equation (1)), is a function with single fluctuation in a point . For the demonstration of the optimality of MSTS(minimaximal STS for the Bulgarian Military Airforces) the demonstration of the following is necessary: Theorem. If  is a minimaximal STS: a) The amount of CWA in the interval  is represented as the maximal positive number , for which the inequation is satisfied:
; (6)
b) The moment for execution of CWA are defined by the equation:
. (7)
Demonstration: Lets mark the multitude of STS in the interval  for AS with a distribution function , including CWA, done for a time  with . The union of all multitudes of STS, containing from 0 to  CWA we mark with , while . Then lets mark with , the multitude of STS, including the  CWA, which moments of execution  are defined by the condition:
. (8)
The union of all multitudes from STS, containing from 0 to  CWA and satisfying the condition (5), is marked with . For the demonstration of the above theorem the demonstration of the following is necessary:
    1. If STS  exists and , therefore at least one STS ÑÒΠ for which  can be found;
    2. For the minimaximal STS the condition  is satisfied;
    3. The amount of CWA in the interval  for the minimaximal STS is equal to 
. Demonstration - 1: Lets examine STS  taken form the multitude of . For  we determine the loses(financial and time) in the interval between CWA. They are equal to each other according to (8), therefore:
. (8)
where: - interval of examination of STS. From (4) at  we obtain that , ÷å . Therefore:
(9)
where: . From (9) we obtain that for the belonging to each STS multitude of  the following equation is satisfied:
(10)
For STS condition (8) is satisfied, and from (10) we obtain the equation:
. (11)
Formula (8) means that,  which means that with the rendering of (11), we have  equations from the kind of:
(12)
Formula (12) is a record of the k-th member of an arithmetic progression. As we use the condition for normation, which has the expression , we obtain the following:
. (13)
The loses in the final interval of CWA will be:
. (14)
Putting  from equation (13) in (14), we obtain a formula for loses of STS :
(15)
As , it is necessary the term of the fraction from (13) must be positive or zero in order to be satisfied :
. (16)
From inequation (16) we obtain the following:
. (17)
Comparing the inequations (6) and (17), we notice that the right part of (17) is bigger from the right part of (6), which satisfies value . Therefore,  which means the following:
. (17)
As we use formula (15) for  we do a examination of the relation between  and , as  and  are the loses caused from faults of AS happened just before  CWA.  are defined from:
(18)
With the rendering of (15),(17),(18) and that  we determine the difference , ò.å.:
(19)
Formula (19) gives the demonstration of the first part of the above theorem:
.



Demonstration - 2: We will prove that  , where n is a random amount of CWA. Fro this purpose we must prove that STS with a random amount of CWA leads to bigger loses than STS , for which the condition (8) is satisfied:
            (20)
The demonstration of (20) is done by proving the opposite. Lets suggest that the following is true:
            (21)
Formula (21) means that for every  the following if satisfied:
            (22)
We sum the left and the right side of the inequation (22) by which we obtain the following:
  (23)
We add the following identity to(23):
. (24)
and after the execution of not very complex transformations we derrive a system of equations at the condition :
(25)
After the addition of the left and right sides of the system of equations (25) we obtain the following:
               (26)
We put the following expression in (26):
, (27)
and obtain:
(28)
From (28) we see that its right side is not dependent on STS. That makes (28) correct and for STS  . Therefore:
. (29)
But the inequation (23) means that . Therefore:
(30)
After analysis of (30) we notice that this íåðàâåíñòâî contradicts to íåðàâåíñòâî (22). Therefore at a random amount of ÊÐ, the n-th STS from the multitude , leads to less loses than STS with the same amoung of ÊÐ, but not from the multitude . As in the demonstration of the first half of the current theorem was obtained , and in the second part is obtained , therefore:
(31)
Formula (31) finishes the demonstration of the second part of the above theorem. Demonstration - 3: Lets mark the difference in the loses with STS ÑÒΠ and STS  with :
, (32)
where:  ; We put in equation (32) the loses during usage of STS at  and - control of the work ability in the interval  calculated according to (15):
. (33)
The sign for the difference in the term of the fraction from (33), corresponds to the whole term of the fraction. This means that the loses  are not raising with the increase of  while the term is negative. Therefore the number of CWA , minimizes the loses , defined from the maximal positive number at which the íåðàâåíñòâî is satisfied:
, (34)
coinciding with the inequation (6). Therefore,  which had to be demonstrated.
Determination of the moments for execution of CWA with the minimaximal STS.
We obtain the k-th member of the arithmetic progression  with formula (12) expressed through , according to:
(35)
We put  from formula (13) in (35) which makes the demonstration of equation (7) from the theorem:
Therefore a demonstration of the second part of the current theorem is done.
 
 
 
  Example for the usage of minimaximal(mixed) STS:
The following data for a random AS is given:
; .
To determine the moment of control of the work ability(technical check)[h] of the AS; The calculations are done according to formulas (6) and (7):
h.
Conclusions: 1. A mixed system for technical service of aircrafts is suggested. It is characterized by periodical control of the work ability by basic parameters at a certain level of reliability(possibility for faultless operating or permissible value of the basic parameters), and meanwhile this aviation systems of which the control of the work ability is financially inefficient and determine the dafety of the flights are serviced by workout. 2. The mixed system for technical service is minimaximal(optimal) strategy for service of the aircrafts.
REFERENCES:
[1] Petrov N. I., Ànalytical model for examination of the technical condition of aviation systems, WSES/MIUE/HNA, International Conference, MSME'99, 25.07.1999, Miami, Florida, USA. [2] Davidoff P.S., Technical diagnosis of radioelectronic devices and systems, “Radio i sviaz”, Moscow, 1988. [3] Ignatov V. A., Ulanskij V.V., Tadgi Taisir, Progrnostication of the optimal service of technical systems, “Znanie”, Kiev, 1991.
 
 
Technical College - Bourgas,
All rights reserved, © March, 2000