Fig. 1. Diagram of distributed optical fiber multi-parameter sensing system

Fig. 2. Flowchart of signal preprocessing

Fig. 3. Model of multi-parametric signal fusion recognition. (a) Total structure of model; (b) structure of convolutional unit; (c) structure of fusion unit

Fig. 4. Confusion matrices of three methods. (a) Input of features; (b) input of vibration signals; (c) fusion input of vibration signals and features

Fig. 5. Comparison of recognition effects of features, signals, and combination of features and signals. (a) Comparison of accuracy; (b) comparison of precision; (c) comparison of recall; (d) comparison of F-score

Fig. 6. Confusion matrices of three methods. (a) Input of single parameter temperature signal; (b) fusion input of multi-parameter vibration and temperature signals; (c) fusion input of multi-parameter dynamic and static signals

Fig. 7. Comparison of recognition effects of single parameter signal, multi-parametric signals and multi-parametric dynamic and static signals. (a) Comparison of accuracy; (b) comparison of precision; (c) comparison of recall; (d) comparison of F-score

Fig. 8. Confusion matrix of proposed method

Fig. 9. Comparison of effects of proposed method and other methods. (a) Comparison of accuracy; (b) comparison of precision; (c) comparison of recall; (d) comparison of F-score