PSI - Issue 20

G.Yu. Zudov et al. / Procedia Structural Integrity 20 (2019) 300–305 G.Yu. Zudov et al. / Structural Integrity Procedia 00 (2019) 000–000

302

3

Electrical equipment Wiring

1382 (73.4 %) 232 (82.9 %)

500 (26.6 %) 48 (17.1 %)

1882

Generator

280 127

Starter

99 (78 %)

28 (22 %)

Total electrical equipment failures 2077 (76.3 %)

644 (23.7 %) 190 (18.7 %) 65 (22.3 %) 46 (21.5 %) 39 (19.1 %) 517 (20.4 %) 197 (35.9 %) 213 (37.4 %) 131 (38.8 %) 66 (34.2 %) 770 (36.6 %) 110 (29.2 %) 37 (24.2 %) 298 (21.9 %) 74 (21.8 %) 48 (17.9 %) 74 (28.2 %) 290 (22.2 %) 153 (28.2 %) 21 (16.7 %)

2721 1016

Engine

Cylinder head gasket

826 (81.3 %) 226 (77.7 %) 168 (78.5 %) 165 (80.9 %) 2018 (79.6 %) 384 (66.1 %) 357 (62.6 %) 207 (61.2 %) 127 (65.8 %) 1338 (63.4 %) 267 (70.8 %) 116 (75.8 %) 1063 (78.1 %) 266 (78.2 %) 221 (82.1 %) 188 (71.8 %) 1018 (77.8 %) 390 (71.8 %) 105 (83.3 %) 60 (88.2 %) 844 (79.5 %)

Collector

291 214 204 581 570 338 193

Cylinder head

Internal combustion engine

Total engine failures

2535

Suspension

Springs

Reaction rod Spring bracket

Balancer

Total suspension failures

2108

Cooling system

Radiator

377 153

Water pump

Total cooling system failures

1361

Fuel system

Injectors

340 269 262

Injection pump

Fuel tank

Total fuel system failures

1308

Steering

Steering rods

543 126

Steering booster

Power steering pump Total steering failures

8 (11.8 %)

68

218 (20.5 %)

1062

Total KAMAZ truck failures

11149 74.9 %

3738

14887

Average failure rate

25.1 %

3. Assessment of influence of climatic factors of cryolithozone on working capacity of KAMAZ truck. The absolute failure rates may not always adequately reflect structure and interrelation of a complex under study. Thus, Figure 1 shows a histogram of the distribution of the number of the failures depending on the temperature. This dependence has a two-modal form. There is no possibility to build a mathematical relationship between these data. We have assumed that relative values allow establishing the relationship between the number of the failures and the value of the factor. Therefore, to estimate the number of the failures of the system elements depending on the climatic factors, we used the data on the relative number of the failures per day of each interval of the particular climatic factor. Thus, the number of the failures per the interval of the factor is divided by the number of the days of the factor action with the values of this interval.