Application of D-S Evidence Fusion Method in the Fault Detection of Temperature Sensor

Table 2

Fault decision result of D-S evidence fusion.

Combination mode	Belief interval of evidence
	[Bel1 Pl1]	[Bel2 Pl2]	[Bel3 Pl3]	[Bel4 Pl4]
𝑚12⊕𝑚13	[0.306 0.183]	[0.278 0.948]	[0.352 0.753]
𝑚12⊕𝑚14	[0.382 0.348]	[0.244 0.818]		[0.244 0.303]
𝑚12⊕𝑚23	[0.201 0.156]	[0.193 0.947]	[0.284 0.788]
𝑚12⊕𝑚24	[0.397 0.282]	[0.910 0.896]		[0.215 0.240]
𝑚13⊕𝑚14	[0.188 0.258]		[0.749 0.828]	[0.278 0.232]
𝑚13⊕𝑚23	[0.489 0.427]	[0.268 0.872]	[0.291 0.920]
𝑚13⊕𝑚34	[0.293 0.374]		[0.810 0.865]	[0.417 0.348]
𝑚14⊕𝑚24	[0.201 0.338]	[0.881 0.948]		[0.263 0.361]
𝑚14⊕𝑚34	[0.352 0.400]		[0.936 0.979]	[0.338 0.374]
𝑚23⊕𝑚24		[0.834 0.750]	[0.953 0.848]	[0.489 0.427]
𝑚12⊕𝑚13		[0.865 0.876]	[0.809 0.750]	[0.415 0.352]
𝑚12⊕𝑚13		[0.822 0.920]	[0.788 0.850]	[0.395 0.343]
Evidence fusion results	[0.023 0.041]	[1.000 1.000]	[1.000 1.000]	[0.067 0.079]
Fault diagnosis results	Sensors 1 and 2 are fault, Sensors 3 and 4 are not working well.