Sensor Fault Detection and Diagnosis Method for AHU Using 1-D CNN and Clustering Analysis

Table 1

Effects on each inspected variable when a certain type of sensor fault occurs.

Inspected variables	Twr	Tws	Cw	Mw
Sensor fault
Positive bias in Tsup sensor	N	—	P	P
Negative bias in Tsup sensor	P	—	N	N
Positive bias in Twr sensor	P	—	—	—
Negative bias in Twr sensor	N	—	—	—
Positive bias in Tws sensor	—	P	—	—
Negative bias in Tws sensor	—	N	—	—
Positive bias in Mw sensor	—	—	—	P
Negative bias in Mw sensor	—	—	—	N

Note: “P” means a positive bias of the inspected variable; “N” means a negative bias of the inspected variable; “—” means that the inspected variable is not influenced.