Vehicle judder diagnostic method using artificial intelligence and mobile-based GDS

A vehicle judder diagnostic method using artificial intelligence, the vehicle judder diagnostic method comprising:

• sampling data that samples input data by using a mobile-based global diagnostic system (GDS) in a test vehicle whose judder occurrence is measured by a judder occurrence determination device and extracts artificial intelligence use data;
• building a DNN model that develops the artificial intelligence use data as a judder determination artificial intelligence model through the trial and error of a deep neural network (DNN);
• and
• performing artificial intelligence diagnosis that mounts the judder determination artificial intelligence model in the mobile-based GDS and confirms whether the judder occurs in a judder diagnostic mode of the test vehicle,
• wherein the sampling of the data comprises:
• preparing test data that builds the test vehicle;
• performing GDS measurement that operates the test vehicle in a judder diagnostic mode and performs the sampling by the mobile-based GDS while detecting an accelerometer measurement signal of the test vehicle by the judder occurrence determination device;
• extracting data labelling by labelling the input data;
• refining the data labelling that removes influence of the size of the data labelling and influence of the sampling period;
• and
• extracting the artificial intelligence use data by classifying the data labelling into learning data and validation verification data, and
• wherein the preparing of the test data comprises:
• selecting a double clutch transmission (DCT) and a double clutch as a judder test device;
• selecting the DCT and the double clutch as the test vehicle;
• and
• defining a judder evaluation for the test vehicle.