A dataset of excitation signals from crankshaft and camshaft sensors for engineering vehicle EECU

This dataset is a collection of sensor excitation signals for the Engine Electronic Control Unit (EECU) of an engineering vehicle. The data was captured using a Tektronix oscilloscope from both actual vehicles and a simulation test platform, with the raw data initially stored in individual csv files. After integration and normalization, the dataset comprises 9,600 samples in total. It includes 5,400 samples of crankshaft sensor signals, labeled with engine brand, sensor type, total number of teeth, missing teeth, and crankshaft type. Additionally, there are 4,200 samples of camshaft sensor signals, labeled with engine brand, sensor type, number of pulses, differential tooth spacing, and interval tooth count. The dataset is divided into six csv files according to an 8:1:1 ratio for the training set, validation set, and test set, respectively: train_ckp.csv, val_ckp.csv, test_ckp.csv for crankshaft sensor data, and train_cmp.csv, val_cmp.csv, test_cmp.csv for camshaft sensor data. In each csv file, the first 10,000 data points in each row represent a single sensor excitation signal, followed by five data points corresponding to the labels in the specified order. ckp.rar and cmp.rar are two compressed files, each containing deep learning code for multi-label classification of crankshaft and camshaft sensor excitation signals, respectively.Please read the readme before using.