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Articles

Can system reliability be predicted from average component reliabilities?

Pages 214-240 | Received 02 May 2022, Accepted 09 Nov 2023, Published online: 07 Dec 2023

Figures & data

Figure 1. Reliability network of a system with components from n varieties, (a) logically arranged in series; (b) logically arranged in parallel.

Figure 1. Reliability network of a system with components from n varieties, (a) logically arranged in series; (b) logically arranged in parallel.

Figure 2. (a) Reliability network of a series-parallel system with components from n varieties; (b) reliability network of a series-parallel system involving components of 3 varieties.

Figure 2. (a) Reliability network of a series-parallel system with components from n varieties; (b) reliability network of a series-parallel system involving components of 3 varieties.

Figure 3. (a) Reliability network of a series-parallel system with components from n varieties and m redundancies in each section; (b) reliability network of a series-parallel system with components from 3 varieties and 3 redundancies in each section.

Figure 3. (a) Reliability network of a series-parallel system with components from n varieties and m redundancies in each section; (b) reliability network of a series-parallel system with components from 3 varieties and 3 redundancies in each section.

Figure 4. Reliability network of a parallel-series system with n parallel branches each including components from m varieties.

Figure 4. Reliability network of a parallel-series system with n parallel branches each including components from m varieties.

Figure 5. Inverting the relative position of an object with respect to its support delays a failure mode.

Figure 5. Inverting the relative position of an object with respect to its support delays a failure mode.

Figure 6. Enhancing the reliability of a mechanical switch by inversion from a normally open to a normally closed state.

Figure 6. Enhancing the reliability of a mechanical switch by inversion from a normally open to a normally closed state.