Information Technology Reference
In-Depth Information
To detect problems by on board staff and passengers The estimated
rate of non-detection of a hot axle box by passengers and by on-board staff
(
OBS
) is represented by equation 3.
NP×PIQ
RDH
OBS
=(
RDH
PA
)
+
RDH
CPA
(3)
10
−
1
/h.
- Taking into account a high speed train with all seats taken (377 seats)
and 8 wagons:
NP
=
- Assuming a low passenger attention:
RDH
PA
=
5
.
= 47.
- Assuming that 25% of passengers will want to alert a member of the crew
and 12,5% (1 in 8 cars) will find one:
PIQ
=
377
÷
8
= 0,03125.
- Assuming a low procedural action by the crew:
RDH
CPA
=
0
,
25
×
0
,
125
10
−
2
/h.
5
.
10
−
1
/h.
The result is
RDH
OBS
=
4
,
1
.
To monitor axle boxes by STEM agents The estimated rate of non-
detection of a hot axle box by STEM agents is represented by equation 4.
NA
RDH
STEMA
SAQ
RDH
STEM
=(
)
(4)
- Assuming an average attention of STEM agents to trac safety:
RDH
STEMA
=
10
−
2
/h.
- Assuming that 20% of the work of the STEM agents is devoted to trac
safety:
SAQ
= 0,20.
- Assuming that there is, at least, one agent available:
NA
=1.
5
.
10
−
1
/h.
The result is
RDH
STEM
=
2
,
5
.
To monitor axle boxes by on track HBD The estimated rate of non-
detection of a hot axle box for high speed trains with on track HBD is rep-
resented by equation 5.
NFT
Factor
×
1
RDH
HBD−Track
=
(5)
(1
−
I
0
−HBD
)
×
h
DBC
×
NB
HBD
- There is currently
NB
HBD
= 106 on track HBD on the French network,
it can be estimated that there is a HBD every 35,49 kms.
- Number of failures tolerated per year (
NFT
)=1.
- A risk aversion factor of HBD for high-speed lines: Factor = 15.
- Unavailability of HBD (
I
0
−HBD
)=
10
−
3
.
3
,
96
.
- Hours of operation:
h
DBC
=18
×
333
= 5994 h/year (18 hours per day
during 333 days per year).
10
−
7
/h.
The result is
RDH
HBD−Track
=
1
,
05
.