Modeling the City Distribution System Reliability with Bayesian Networks to Identify Influence Factors

Table 1

The measurement data.

Number	Date	Logistics technology	Facilities and equipment	Information system
1	2013/9/1	√	√	√
2	2013/9/8	√	√	√
3	2013/9/15	×	×	√
4	2013/9/22	√	√	√
5	2013/10/1	×	√	×
6	2013/10/8	√	√	√
7	2013/10/15	√	√	√
8	2013/10/22	√	√	√
9	2013/11/1	√	√	√
10	2013/11/8	√	√	√
11	2013/11/15	√	×	×
12	2013/11/22	√	√	√
13	2013/12/1	√	√	√
14	2013/12/8	√	√	√
15	2013/12/15	√	√	√
16	2013/12/22	√	√	√
17	2014/1/1	√	×	√
18	2014/1/8	√	×	√
19	2014/1/15	√	√	√
20	2014/1/22	×	√	√
21	2014/2/1	√	√	√
22	2014/2/8	√	√	√
23	2014/2/15	√	√	√
24	2014/2/22	√	√	√
25	2014/3/1	√	√	√
26	2014/3/8	×	√	√
27	2014/3/15	√	×	×
28	2014/3/22	√	√	√
29	2014/4/1	√	√	√
30	2014/4/8	√	√	√
31	2014/4/15	√	×	√
32	2014/4/22	√	√	√
33	2014/5/1	√	√	×
34	2014/5/8	√	√	√
35	2014/5/15	√	√	√
36	2014/5/22	√	×	√
37	2014/6/1	√	√	√
38	2014/6/8	×	√	√
39	2014/6/15	√	√	√
40	2014/6/22	√	×	√
41	2014/7/1	√	√	√
42	2014/7/8	√	√	√
43	2014/7/15	√	√	×
44	2014/7/22	√	√	√
45	2014/8/1	√	√	√
46	2014/8/8	√	×	√
47	2014/8/15	√	√	√
48	2014/8/22	√	√	√
49	2014/9/1	√	×	√
50	2014/9/8	√	√	√
Total number of failures		5	10	5