Light-Weighted Deep Learning Model to Detect Fault in IoT-Based Industrial Equipment

Table 1

Experimental data table.

Equipment	Number of sensors	Data record	Number of equipment failures
Steam turbine body	111	278400	28
Secondary fan	37	278400	21
Coal mill B	49	278400	18
Primary fan	44	278400	14
Air preheated	49	278400	12