Table 3 Publications about the application of CNN in fault diagnosis

CWRU [65]

Bearing

This dataset consists of four sub-datasets, and the operating conditions of each sub-dataset are 0 hp – 1797 r/min, 1 hp - 1772 r/min, 2 hp - 1750 r/min, and 3 hp - 1730 r/min, respectively. Single-point motor bearing faults include ball fault, inner ring fault, and outer ring fault

MFPT [203]

Bearing

This dataset consists of four sets of bearing vibration data. In the first sub-dataset, it contains three baseline conditions. In the second sub-dataset, it contains three outer race fault conditions. In the third sub-dataset, it contains seven outer race fault conditions for seven different loads. In the fourth sub-dataset, it contains seven inner race fault conditions for seven different loads

PU [204]

Bearing

It contains 32 sub- les, that is, 26 faulty bearings and 6 healthy bearings. The faulty bearings consist of 12 artificial damages generated by electrical discharge machining and 14 real damages caused by accelerated lifetime test

JNU [205]

Bearing

This dataset contains four kinds of bearing fault type, including normal state, ball fault, inner ring fault, and outer ring fault. Three different working conditions are investigated with the motor rotate speed set to 600, 800, and 1000, respectively

SEU [67]

Gearbox

This dataset contains two subsets, that is, a gear dataset, and a bearing dataset. The gear dataset contains four kinds of fault types, i.e., chipped tooth, missing tooth, root crack, and tooth surface wear. The bearing dataset consist of four kinds of fault types, including ball fault, inner ring fault, outer ring fault, and a mixed fault

UoC [206]

Gearbox

In this data set, nine different gear conditions are introduced into the pinion on the input shaft, including root cracks, health conditions, spalling, missing teeth, and sharpening with

five different severity levels