Diagnostic Guides

ADAS (Advanced Driver Assistance Systems)  rely on precise alignment between sensors, vehicle geometry, and network timing. Diagnostics in ADAS systems extend beyond fault codes into sensor fusion consistency , calibration frame accuracy , and dynamic validation logic . A calibrated system is not always a validated system. ADAS System Architecture and Data Flow Modern ADAS platforms integrate: Camera sensors Radar sensors Ultrasonic sensors Steering angle sensor Yaw rate sens

The Tire Pressure Monitoring System (TPMS)  is a multi-layer diagnostic system involving TPMS sensors , RF communication , ECU logic , and vehicle network architecture . Accurate diagnosis requires understanding how these layers interact under real driving conditions. A TPMS fault is rarely caused by pressure alone. TPMS System Architecture Overview A complete TPMS system consists of: TPMS sensors TPMS valve stems TPMS antennas TPMS receiver TPMS ECU CAN Bus or LIN Bus integr

Modern vehicles operate on complex vehicle network architecture , where multiple ECUs exchange data continuously. Diagnostic accuracy depends on understanding how CAN Bus , LIN Bus , and Automotive Ethernet   interact under real operating conditions. A communication issue is rarely isolated to a single module. Network behavior defines how faults propagate, appear, and disappear. Network-Centric Fault Symptoms Many diagnostic symptoms are network-originated rather than compone

Modern vehicle diagnostics increasingly centers on the ECU. Mechanical faults still exist, but system behavior is now defined by logic, parameters, and calibration states. ECU diagnostics is not limited to fault codes. It involves understanding how software logic, learned adaptations, coding configurations, and calibration data interact to produce observable behavior. ECU as a Decision-Making System An ECU does not simply react to sensor inputs. It interprets signals through

Accurate diagnostics is not a single measurement or test result. It is a structured workflow that moves from symptom observation to system verification, ensuring conclusions reflect actual vehicle behavior. Diagnostic workflows organize data acquisition, interpretation, confirmation, and validation into a coherent process. Diagnostic Workflow as a Control Process Diagnostics follows a controlled sequence. Each step constrains interpretation and prevents premature conclusions.