## 3 Results
#### 3.1.1 Estimation of Reliability Parameters  
This analysis evaluates the reliability of three critical components used in mining operations: the Komatsu WA470 front loader bucket knife, the Komatsu HB365 excavator bucket teeth, and the sorting station trough in the Patars quarry. Operating time data until failure were collected and analyzed to determine the relevant statistical distributions. The operating time of the Komatsu WA470 front loader bucket knife was recorded from June 2022 to May 2024, resulting in a series of 32 ascending values representing operating days (8 h/day) until failure: 7, 7, 8, 14, 15, 22, 27, 28, 35, 41, 42, 44, 48, 49, 50, 51, 56, 57, 63, 64, 132, 141, 146, 161, 162, 188, 232, 273, 301, 364, and 366. Analysis using Relyence Weibull  
Figure 11: Experimental setup for metal sample wear testing: 1—cylindrical sample; 2—basalt sample; 3—wear area. Figure 10: Mode of fixing the basalt samples: B1–B11 basalt samples; 1—M10 nut. 2020 software distributed by Relyence Corporation, Greensburg, PA, USA (Figure 12a) identified the lognormal distribution as the most suitable, with the highest acceptance probability. The operating time of the Komatsu HB365 excavator bucket teeth was recorded in operating hours (8 h/day) until failure, resulting in a series of 31 ascending values: 288; 288; 288; 312; 408; 480; 480; 552; 720; 720; 720; 720; 792; 1008; 1032; 1056; 1128; 1128; 1752; 1752; 1824; 1948; 2064; 2064; 2160; 2160; 3048; 3048; 3072; 3072; and 5736. Relyence Weibull analysis (Figure 12b) also identified the lognormal distribution as the most appropriate. The operating time of the sorting station trough in the Patars quarry was recorded in operating days (8 h/day) until failure, resulting in a series of 18 ascending values: 77; 84; 91; 105; 140; 147; 161; 163; 168; 180; 182; 184; 185; 217; 238; 258; 259; and 427. In this case, Relyence Weibull analysis (Figure 12c) identified the three-parameter Weibull distribution as the most suitable. All reliability analyses were conducted using Relyence Weibull software. The lognormal distribution was identified as the most appropriate for the front loader bucket knife and the excavator bucket teeth, while the three-parameter Weibull distribution was identified as the most appropriate for the sorting station trough. All analyses were performed using a 90% two-tailed symmetric confidence interval. The adopted distribution law enables the construction of the Komatsu WA470 front loader bucket knife's reliability variation curve (Figure 13a,b). Analysis of this curve reveals that the bucket knife has a 40% probability of failure after 63 days of operation (Figure 13a). To achieve the 80% reliability target set by quarry equipment beneficiaries, the operating time must be reduced to 27 days (Figure 13b). Figure 12: Ranking of possible distribution laws of operating times of (**a**) Komatsu WA470 front loader bucket knife; (**b**) Komatsu HB365 excavator bucket tooth; (**c**) sorting station trough. Figure 13 emphasizes the importance of monitoring critical component reliability and planning preventive maintenance to minimize equipment downtime and optimize quarry operations. We observe that as reliability requirements increase, the operating time decreases significantly. As can be seen from Figure 13b, for the reliability parameter at 63 days, the confidence interval is relatively wide, indicating a considerable variability in the knife's operating data. This variability may be attributed to variations in the processed material or the equipment's usage style. The reliability degradation rate of the bucket knife is approximately 1.1111% per day. This means that, on average, the knife's reliability decreases by slightly over 1% each day. A reliability of 40% after 63 operating days indicates a 60% probability of the knife failing within this period. This low reliability value suggests that the knife is subject to significant wear or is prone to failures under the operating conditions of the Patars quarry.