Fig 1.
Resistance variant faults in a real mine.
(Created by the author).
Fig 2.
The machine learning model of the resistance variant for multiple fault location diagnoses.
Fig 3.
Pseudo-code of the ML-KNN model.
Fig 4.
Metal production mine ventilation network.
(Created by the author).
Table 1.
Parameters of the fault test branches.
Table 2.
Fault sample set.
Table 3.
Cross-validation results of the resistance variant for multiple fault location diagnoses.
Table 4.
Cross-validation results of the resistance variant for multiple fault location diagnoses.