Hands-On Learning, Powering America Forward

MAF Sensor Diagnostics

 

Content Type icon

CONTENT TYPE

VR, ILV, Interactive Modules

Duration icon

DURATION

5 Hours

Target Audience icon

TARGET AUDIENCE

Technician

Course Delivery icon

COURSE DELIVERY

VR or Web-based

Credits icon

Credits : 0.5

Automotive Service Excellence logo

Icons representing a four-step workflow: Learn, Assess, Evaluate, and Implement

About the Course:

This MAF Sensor diagnostics microcredential trains technicians to identify, diagnose, and troubleshoot faults related to the Mass Air Flow (MAF) sensor within hybrid electric vehicle powertrain systems. This microcredential is part of our hands-on HEV diagnostic training, designed to build real-world skills in airflow analysis and sensor troubleshooting.

Learners will practice real-world diagnostic procedures including scanning for MAF sensor-related fault codes, analyzing airflow and fuel trim data, inspecting sensor wiring and connectors, and testing sensor outputs using professional diagnostic tools. The course emphasizes safe diagnostic practices, proper use of scan tools and multimeters, and systematic troubleshooting techniques to accurately detect MAF sensor failures that impact air-fuel mixture, engine efficiency, and overall vehicle performance in hybrid electric vehicles.

Learning Objectives:

  • Identify common symptoms of a failing MAF sensor such as poor fuel economy, rough idling, engine hesitation, stalling, or illuminated warning lights  
  • Safely prepare the hybrid vehicle for diagnostic procedures by following proper electrical safety and vehicle shutdown protocols  
  • Use diagnostic scan tools to identify MAF sensor fault codes and abnormal airflow or fuel trim readings  
  • Test MAF sensor signals using a multimeter or scan tool live data  
  • Inspect sensor wiring harnesses, connectors, and air intake components for damage, contamination, or leaks  
  • Identify malfunctioning MAF sensors affecting air-fuel ratio and engine performance  
  • Interpret diagnostic data to determine the root cause of airflow-related engine issues  
  • Verify proper engine operation and sensor performance after repairs or sensor replacement

 

Course delivered via LMS and requires an Oculus VR headset for hands-on VR simulations.

technician performing MAF sensor diagnostics for airflow testing in vehicle system

 

Workforce Development

detecting MAF sensor faults affecting engine performance and air fuel ratio

At ImmerseLearn, we equip hybrid and electric vehicle technicians with the diagnostic skills required to service modern engine management and electronic control systems. These capabilities are reinforced through our advanced hybrid vehicle diagnostics training, helping technicians accurately diagnose and resolve real-world engine performance issues.

This microcredential strengthens airflow diagnostics, fuel system analysis, and electrical troubleshooting skills through immersive VR-based learning.

How this course strengthens workforce skills:

MAF Sensor Diagnostics −
Learn how to identify faulty MAF sensors by analyzing engine control module (ECM) data, reviewing diagnostic trouble codes, and evaluating airflow readings and fuel trim values. Technicians develop the ability to quickly isolate sensor-related faults that affect air intake measurement, fuel delivery, and engine efficiency.
Safe Diagnostic Procedures +
Practice essential safety procedures when diagnosing hybrid vehicle engine systems, including proper vehicle shutdown, electrical isolation, and safe handling of diagnostic equipment when working around intake systems and electronic control modules.
Cause Identification +
Determine common causes of MAF sensor failures such as contamination from dirt or oil, damaged wiring, connector corrosion, air intake leaks, or internal sensor malfunction by interpreting diagnostic readings and engine performance symptoms.
Sensor Repair and Verification +
Apply corrective actions such as cleaning the MAF sensor, repairing wiring faults, sealing air intake leaks, or replacing a faulty sensor. Learners complete the process by verifying accurate airflow readings, confirming proper fuel trim values, and ensuring normal engine operation.

By completing this microcredential, technicians will gain the confidence and technical expertise needed to diagnose MAF sensor failures, correct air-fuel mixture issues, and restore optimal engine performance and efficiency in hybrid electric vehicles.