Курсовая работа: Working out of the search algorithm of failures of Air Conditioning System of TU-154
Курсовая работа: Working out of the search algorithm of failures of Air Conditioning System of TU-154
Ministry of education and science of Ukraine
National Aviation University
Course work
on the discipline
Diagnostics of aircraft state
‘Working out of the search algorithm of failures
of Air Conditioning System of TU-154’
the work is
performed by
the student of
505 FLA
D. Zhuravel
the work is
checked by:
Y. A. Sapeljuk
Kyiv 2009
Content
1. Work’s goal
2. Description of ACS of Tu-154
3. Principal scheme of ACS of Tu-154
4. Theoretical base of algorithm developing process
5. Description of obtained algorithm
Description and operating principles of Air-Conditioning
System of Tu-154
The air conditioning system (ACS) provides pressurization,
ventilation, heating of the pressure cabin. Air is taken from the 9th
compressor stage of three engines in amount of 5000-5500 kg/h, temperature is
between 240 - 350 °C and differential pressure is 7,5 - 9kg/sm2.
The ACS supply conditioned air to the control cabin, passenger
cabin, electronic equipment compartment, forward cargo compartment, air
conditioning distribution bay and aft cargo compartment, and provides constant
pressure and temperature in pressure cabin. It is maintained by air flow
regulation. Air supply to the air conditioning system is furnished by the
pneumatic system from either engine bleed air or the auxiliary power unit (APU)
in flight; from engine bleed air, APU bleed air, ground pneumatic supply cart,
or from a ground conditioned air supply cart during ground operation. All cold
air required for air conditioning is provided by air conditioning packs. Passing
bleed air through a primary heat exchanger, an air cycle machine, and a
secondary heat exchanger cools the air sufficiently to handle any cooling
situation required. A ram air system provides coolant air for the heat
exchangers.
In each of three pipelines there is regulated check valve to prevent
air masses flow in returned direction. Pipelines attachment is realized with
the help of compensators.
Further three pipelines are connected into single one mainline,
which leads to the first cooling stage - preliminary air-to-air heat exchanger.
Temperature of hot air after AAHE is ranged between 100 - 200°C. AAHE is the
first stage of cabin air cooling maintained by atmosphere ram-air flow. AAHE is
one-flow.
In case of overcooling there is by-pass line to bleed off air
besides AAHE. Before air enters pressure cabin the main line is divided on two
parallel pipelines: right and left.
They lead to two main cooling stages, where AAHEs and air cycle
machines installed. Here, after AAHE air temperature should be not more than
60°C, behind ACM - 10 - 20°C. In case of overcooling there are two by-pass
lines besides AAHE and ACM. By-pass of air is carried by air distributers
mounted on AAHE. Regulation of distributers is automatic or manual.
ACM has two functions: to cool air flowing from AAHE being secondary
stage of air cooling; to suck scavenged air through AAHE during ACS operation
being on the ground. There is also oil system of ACM. It`s function is to
lubricate ACM bearings.
Then air comes to distributive main line where air mixtures and air
distributers are located.
Air mixture is used to mix cold and hot air. Air distributors of hot
and cold air are used to regulate definite temperature of air in pressure cabin.
Noise suppression device.
Theoretical basis of working out of algorithm
For algorithm working out let’s use the method that is based on the
theory of information. In it the leading function is information quantity,
which can be got during control of diagnostic parameter or making another check.
By the results of the check we define diagnose of the system. Practically, the
process of the algorithm working out begins from the construction of the table
of functional failures and calculation of information quantity, got during
every check, and then the algorithm of failures searching is formed. During
this there are considered certain functional system of the aircraft, structure
of its aggregates and principle of their work, and also parameters, which
characterize system workability and signs of failures and defects appearance. Aggregates,
which are included to the system, in the process of operation fail. Failures
happen for different reasons, among which the most wide-spread are wear and
failure of the aggregate’s elements, shrink of the springs, loose of
pressurization, jamming of slide valves, filter clogging etc. Certain type of
the aggregate failure is considered as its diagnose Di, which is followed by
certain signs (parameters) Xi, which become evident in operation and are fixed
during use of the system by the assignment or during making of maintenance. Functions
of the failures are made for hydraulic system of retraction-extension of
landing gear of the aircraft, table 1.
Functions of the system failures. Table 1
Component name |
Diagnosis (Di) |
Malfunction features
(Xj)
|
Number of diagnosis appearance
(n)
|
Probability of diagnosis appearance
(Qi)
|
X1 |
X2 |
X3 |
X4 |
X5 |
AAHE |
D1 |
+ |
+ |
|
|
|
4 |
0.25 |
D2 |
+ |
|
|
|
|
5 |
0.31 |
ACM |
D3 |
|
|
+ |
|
|
3 |
0. 19 |
NSD |
D4 |
|
|
+ |
|
|
1 |
0.06 |
Pipelines |
D5 |
|
+ |
|
|
+ |
2 |
0.13 |
Check valve |
D6 |
|
|
|
+ |
|
1 |
0.06 |
|
* |
2 |
2 |
2 |
1 |
1 |

|

|
** |
D1
D2
D12
|
D1
D5
D 15
|
D3
D4
D36
|
D6 |
D5 |
|
|
Abbreviations and reference designation:
Diagnoses:
D1 - incorrect tubes` installation
D2 - non-pressurized internal cavity
D3 - weakened fitting
D4 - damage of a housing
D5 - non-pressurized part of line
D6 - wrong installation
* - number of diagnoses that are controlled by this sign
** - diagnoses, which are controlled
Signs of failures:
X1 - raised temperature in pipeline
X2 - unsatisfactory pressurization of right mainline
X3 - unusual noise in the cabin
X4 - no air supply to ACS
X5 - fumes in passenger cabin
Evaluation of probability of diagnoses appearance is calculated by
the formula:
,
, (1)
where ni - number of cases of appearance of і diagnose; N - number of all diagnoses of system aggregates.
In the table 1 there are written aggregates’ names, their possible
diagnoses, and their signs. If some sign from the totality Xj corresponds to
diagnose Di on the crossing of their columns we put the sign (+), that shows
stochastic relation between them. Presence of relations between diagnoses and
signs is defined by the making of engineering analysis of work of the system
and its aggregates with taking into account possibilities of system control,
which is used on the given type of aircraft. Diagnoses are chosen by statistic
data that are collected on operational enterprises in the process of operation
of aviation technique.
For functional systems of the aircraft it is typical the appearance
simultaneously several signs during failures appearance, that is underlined
presence of several signs (+) in the columns of the table 1.
Data analysis attests that some signs may be shown in appearance of
different failures and defects of aggregates, that’s why in penultimate line
there are written number of diagnoses, which are controlled by each sign. If
some sign is shown in appearance of several diagnoses, then its appearance may
be caused by appearance of either one diagnose or another one, and also when
diagnoses appear together. That’s why in the last line of the table there are
written possible combinations of the diagnoses. In spite of that during
analysis of functional systems of the aircraft it is considered that
simultaneous appearance of several types of the failures of aggregates, but
from theoretical point of view accounting uncertainty of information about the
state of aggregates, in the case of appearance of such situation it is
necessary to take into account this possibility. For usage of mathematical
apparatus of theory of information it is necessary to define values of
probabilities qi of appearance of this or that diagnose. For their calculation
in penultimate column of the table there are written number of cases of
appearance of each diagnose by statistical data, which are collected for some
period of AT operation. It is evident that it is not possible to calculate
probability of diagnose appearance, but it is possible to get their evaluation.
Control of one or several parameters (signs) of the system, which is called
check, gives information j about presence of aggregate diagnose. Quantity of
information, accounting that we consider dichotomy, is evaluated as difference
between level of system state uncertainty before H (S) and after check H (S/nj):
J= H (S) - H (S/nj). (2)
Level of uncertainty of system states before the check in condition
that system can be unworkable as a result of appearance of only one any
diagnose from their general quantity with probability qk is calculated by the
formula:
(3)

Level of uncertainty of system states after the check:
(4)
Where
- total probability of appearance
of m diagnoses, which are enveloped by the check ni; qn - probability of
appearance of diagnose from totality m, enveloped by the check ni.
Then
(5)
Setting of the diagnose in the system should be begun from the check
ni, which carries the greatest quantity of information. As a result of making
of the check table 1 is transformed. We will two tables as a result of this. If
in the first check it is fixed that sign was confirmed (such situation is
signed as R = 1), diagnoses should be looking for in that totality, with which
this sign has stochastic relation. Second step for refinement of diagnose is
made with the help of transformed table, which includes m diagnoses. As in the
previous case setting of diagnose will be made with taking into account
quantity of information, got during second check. Quantity of information in
this case is calculated by the formula:
(6)
If R = 0, that means sign is not confirmed, then search of diagnose
is made by another transformed table, which includes diagnoses from the number
m+1…N. in such case quantity of information is calculated by formula:
(7)
For usage of expressions (1) - (7) it is made table of
calculated-informational data (table 2).
Table of calculated-informational data. Table 2
№ |
Parameters and features |
System components diagnoses |
Sq |
I |
D1 |
D2 |
D3 |
D4 |
D5 |
D6 |
1 |
X1 |
0.25 |
0 |
0 |
0 |
0 |
0 |
0,25 |
0.81 |
2 |
X1 |
0 |
0.31 |
0 |
0 |
0 |
0 |
0,31 |
0.88 |
3 |
X1 |
0.25 |
0.31 |
0 |
0 |
0 |
0 |
0.56 |
0.98 |
4 |
X2 |
0.25 |
0 |
0 |
0 |
0 |
0 |
0.25 |
0.81 |
5 |
X2 |
0 |
0 |
0 |
0 |
0.13 |
0 |
0.13 |
0.55 |
6 |
X2 |
0.25 |
0 |
0 |
0 |
0.13 |
0 |
0.38 |
0.95 |
7 |
X3 |
0 |
0 |
0. 19 |
0 |
0 |
0 |
0. 19 |
0.69 |
8 |
X3 |
0 |
0 |
0 |
0.06 |
0 |
0 |
0.06 |
0.32 |
9 |
X3 |
0 |
0 |
0. 19 |
0.06 |
0 |
0 |
0.25 |
0.81 |
10 |
X4 |
0 |
0 |
0 |
0 |
0 |
0.06 |
0.06 |
0.32 |
11 |
X5 |
0 |
0 |
0 |
0 |
0.13 |
0 |
0.13 |
0.55 |
Algorithm for checking of aggregate state. Table 3
№
row
|
|
Sq |
I |
D1 |
D2 |
D3 |
D4 |
D5 |
D6 |
1 |
0.25 |
0 |
0 |
0 |
0 |
0 |
0,25 |
0.81 |
2 |
0 |
0.31 |
0 |
0 |
0 |
0 |
0,31 |
0.88 |
3 |
0.25 |
0.31 |
0 |
0 |
0 |
0 |
0.56 |
0.98 |
4 |
0.25 |
0 |
0 |
0 |
0 |
0 |
0.25 |
0.81 |
5 |
0 |
0 |
0 |
0 |
0.13 |
0 |
0.13 |
0.55 |
6 |
0.25 |
0 |
0 |
0 |
0.13 |
0 |
0.38 |
0.95 |
7 |
0 |
0 |
0. 19 |
0 |
0 |
0 |
0. 19 |
0.69 |
8 |
0 |
0 |
0 |
0.06 |
0 |
0 |
0.06 |
0.32 |
9 |
0 |
0 |
0. 19 |
0.06 |
0 |
0 |
0.25 |
0.81 |
10 |
0 |
0 |
0 |
0 |
0 |
0.06 |
0.06 |
0.32 |
11 |
0 |
0 |
0 |
0 |
0.13 |
0 |
0.13 |
0.55 |
# |
D1 |
D2 |
Sq |
I |
1 |
0.44 |
|
0.44 |
0.98 |
2 |
|
0.55 |
0.55 |
0.99 |
4 |
0.44 |
|
0.44 |
0.98 |
5 |
|
|
1.00 |
0 |
6 |
0.44 |
|
0.44 |
0.98 |
7 |
|
|
1.00 |
0 |
8 |
|
|
1.00 |
0 |
9 |
|
|
1.00 |
0 |
10 |
|
|
1.00 |
0 |
11 |
|
|
1.00 |
0 |
# |
D3 |
D4 |
D5 |
D6 |
Sq |
I |
1 |
|
|
|
|
1.00 |
0 |
2 |
|
|
|
|
1.00 |
0 |
4 |
|
|
|
|
1.00 |
0 |
5 |
|
|
0.29 |
|
0.29 |
0.86 |
6 |
|
|
0.29 |
|
0.29 |
0.86 |
7 |
0.43 |
|
|
|
0.43 |
0.98 |
8 |
|
0.13 |
|
|
0.13 |
0.56 |
9 |
0.43 |
0.13 |
|
|
0.56 |
0.99 |
10 |
|
|
|
0.13 |
0.13 |
0.56 |
11 |
|
|
0.29 |
|
0.29 |
0.86 |
# |
D5 |
D6 |
Sq |
I |
1 |
|
|
1.00 |
0 |
2 |
|
|
1.00 |
0 |
4 |
|
|
1.00 |
0 |
5 |
0.65 |
|
0.65 |
0.93 |
6 |
0.65 |
|
0.65 |
0.93 |
7 |
|
|
1.00 |
0 |
8 |
|
|
1.00 |
0 |
10 |
|
0.29 |
0.29 |
0.86 |
11 |
0.65 |
|
0.65 |
0.93 |
# |
D3 |
D4 |
Sq |
I |
1 |
|
|
1.00 |
0 |
2 |
|
|
1.00 |
0 |
4 |
|
|
1.00 |
0 |
5 |
|
|
1.00 |
0 |
6 |
|
|
1.00 |
0 |
7 |
0.76 |
|
0.76 |
0.79 |
8 |
|
0.23 |
0.23 |
0.76 |
10 |
|
|
1.00 |
0 |
11 |
|
|
1.00 |
0 |
Description of obtained algorithm
So, using this algorithm of malfunctions discovering we can compose
an order of system checking, namely, steps of inspection (diagnostics). These
steps are:
1. Check internal cavity of air-to-air heat exchanger
2. Check correctness of tubes installation
3. Check fittings of air-cycle machine
4. Inspect noise suppression device housing for cracks
5. Inspect places of pipeline and other aggregates mounting
6. Check correctness of installation
List of abbreviations:
1. ACS - air conditioning system
2. AAHE - air-to-air heat exchanger
3. ACM - air-cycle machine
4. NSD - noise suppression device.