A structured, symptoms-to-root-cause diagnostic method applied across ten real mechatronic failure scenarios — robot positioning, servo and encoder faults, industrial communication loss, sensors, pneumatics, hydraulics, machine vision, multi-axis synchronization, and electrical noise.
Swapping a drive because an axis faulted, or re-homing a robot and hoping the next cycle behaves, is a guess dressed up as a repair. This module works through a structured, four-step diagnostic method — record the symptom precisely, form a diagnosis consistent with it, run a specific confirming test, then apply the fix that actually follows from a confirmed cause — and applies it across ten real mechatronic failure scenarios, each chosen because at least two plausible causes produce the identical visible symptom.
Coverage spans robot positioning errors and path accuracy, servo drive faults and encoder/feedback failures, PLC and industrial communication loss, proximity and photoeye sensor failures, pneumatic leaks, hydraulic issues, machine vision errors, multi-axis motion synchronization problems, and electrical noise and grounding faults — the same failure patterns this program's real-project case studies (Module 16) and professional practice module (Module 17) both assume you can diagnose correctly.