Intelligent vehicle-mounted sound vibration analysis and diagnosis system based on deep learning

• Main Authors: LIU YULONG, DENG JIANGHUA, CHEN DALIANG, SHI YUEKUI, LI HONGLIANG, LI CAN, HAO YAODONG, YANG MINGHUI, BAI YANGYI, LIU JIA, LI LIN, WU DI, YANG ZHENGRUI, YANG JIN
• Format: Patent
• Language: Chinese; English
• Published: 24.05.2024
• Subjects: ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE; CALCULATING; CHECKING-DEVICES; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; GENERATING RANDOM NUMBERS; MEASURING; PERFORMING OPERATIONS; PHYSICS; REGISTERING OR INDICATING THE WORKING OF MACHINES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT; TESTING; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR; TIME OR ATTENDANCE REGISTERS; TRANSPORTING; VEHICLES IN GENERAL; VOTING OR LOTTERY APPARATUS

The invention discloses an intelligent vehicle-mounted sound vibration analysis and diagnosis system based on deep learning, and the system comprises a vehicle-mounted collection instrument which collects and processes vibration and noise signals of a preset position of a vehicle; the vehicle-mounted sound and vibration analysis module is mounted in a vehicle-mounted system, reads and processes vibration and noise signals acquired by the vehicle-mounted acquisition instrument, reads vehicle running speed and engine rotating speed signals, transmits the signals to the cloud server, and displays real-time monitoring information and intelligent diagnosis result information fed back by the cloud server; the cloud server performs big data training based on vibration and noise signals transmitted by the vehicle sound vibration analysis module and vehicle running speed and engine rotating speed signals, and performs intelligent diagnosis model training through a deep learning mode; and the trained intelligent diagno