From the histogram in Figure 2.4
(a) Calculate the unreliability of the product at a time of 30 hours.
(b) Also calculate the reliability.
(a) For the discrete data represented in this histogram, the unreliability is the sum of the failure probability density function values from t = 0 to t = 30. This sum, as a percentage, is 73.7%.
(b) The reliability is equal to 26.3% and can be read from column 5 of Table 2.2. The sum of reliability and unreliability must always be equal to 100%.
Operating time interval (hours) |
Number of failures in the interval |
Number of surviving products at the end of the interval | Relative frequency | Estimate of reliability at the end of the interval | Estimate of hazard rate in each interval (failures/hour) |
0-10 | 105 | 146 | 0.418 | 0.582 | 0.042 |
11–20 | 52 | 94 | 0.207 | 0.375 | 0.036 |
21–30 | 28 | 66 | 0.112 | 0.263 | 0.03 |
31–40 | 17 | 49 | 0.068 | 0.195 | 0.026 |
41–50 | 12 | 37 | 0.048 | 0.147 | 0.024 |
51–60 | 8 | 29 | 0.032 | 0.116 | 0.022 |
61–70 | 6 | 23 | 0.024 | 0.092 | 0.021 |
71–80 | 4 | 19 | 0.016 | 0.076 | 0.017 |
81–90 | 3 | 16 | 0.012 | 0.064 | 0.016 |
91–100 | 3 | 13 | 0.012 | 0.052 | 0.019 |
101–110 | 2 | 11 | 0.008 | 0.044 | 0.015 |
111–120 | 3 | 8 | 0.012 | 0.032 | 0.027 |
121–130 | 3 | 5 | 0.012 | 0.02 | 0.038 |
131–140 | 4 | 1 | 0.016 | 0.004 | 0.08 |
Over 140 | 1 | 0 | 0.004 | 0 | – |