Fig 1.
Schematic diagram of instrument variation monitoring process.
Fig 2.
Structure of PCA-SPE-CNN classifier.
Fig 3.
Schematic diagram of the construction process of petrochemical instrument knowledge graph.
Fig 4.
Schematic diagram of node relationships in the petrochemical instrument knowledge graph.
Fig 5.
Node entity diagram of petrochemical instrument knowledge graph.
Fig 6.
Schematic diagram of residual of 1-4D filter.
Fig 7.
Schematic diagram of residual of 5-8D filter.
Fig 8.
Schematic diagram of residual of 9-12D filter.
Fig 9.
Schematic diagram of 1–4 dimensional abnormal process monitoring.
Fig 10.
Schematic diagram of 5–8 dimensional abnormal process monitoring.
Fig 11.
Schematic diagram of 9–12 dimensional abnormal process monitoring.
Fig 12.
Motor speed and power diagram.
Fig 13.
Motor stator temperature diagram.
Fig 14.
Oil pressure change chart.
Fig 15.
Fault monitoring.
Fig 16.
Partial enlargement of normal data monitoring.
Fig 17.
PCA-SPE-CNN classification results.
Fig 18.
ROC curve of training set validation set.
Fig 19.
Cross-validation results.
Table 1.
Indicator evaluation.
Fig 20.
PCA-SPE-KNN classification results.
Fig 21.
PCA-SPE-SVM classification result.
Fig 22.
CNN classification result.
Table 2.
PCA-SPE-KNN, PCA-SPE-SVM, CNN classifier metric evaluation.
Fig 23.
Diagnostic results of driver not starting.