Free Tier Learning Path

Measurement → Sensor → Signal → Loop → Control → Faults

🔹 Phase 1: Measurement Fundamentals

Goal: Understand what measurement really means and why it matters.

Virtual Labs

  1. Physical Quantity Explorer

  2. Why Measurement Matters

  3. Measurement Error Awareness

You will understand

  • What is measurement

  • Why industries measure continuously

  • Difference between true value and measured value

Extras

  1. Terminology explorer

  2. Concept comparison visuals

Quick Check

  1. Concept quiz + short reflection

🔹 Phase 2: Sensor Behavior

Goal: Learn how sensors respond to physical changes.

Virtual Labs

  1. Sensor Response Simulator

  2. Sensor Comparison Tool (RTD vs Thermocouple)

  3. Non-ideal Sensor Effects (noise, drift)

You will understand

  • How sensors convert physical quantities to signals

  • Why sensors behave differently

  • Why real sensors are not perfect

Extras

  1. Parameter sensitivity visualizer

  2. Mistake simulation (wrong sensor choice)

Quick Check

  1. Scenario-based quiz

🔹 Phase 3: Signal Conditioning & Standardization

Goal: Understand why raw sensor signals are not used directly.

Virtual Labs

  1. Raw vs Conditioned Signal Lab

  2. Sensor + Transmitter Simulator

  3. 4–20 mA Signal Concept Lab

You will understand

  • Purpose of signal conditioning

  • Meaning of 4–20 mA

  • Why current signals are used in industry

Extras

  1. What-if sandbox

  2. Interactive reference sheets

Quick Check

  1. Logic quiz + readiness self-check

🔹 Phase 4: Instrumentation Loop & System View

Goal: See how instruments work together as a system.

Virtual Labs

  1. Measurement Chain Builder

  2. 4–20 mA Loop Flow Visualizer

  3. Loop Powering Concept Tool

You will understand

  • How an instrumentation loop works

  • Where power comes from

  • What happens when a loop breaks

Extras

  1. Concept maps

  2. Common mistakes library

Quick Check

  1. System-level quiz

🔹 Phase 5: Introduction to Control Action

Goal: Understand how measurement leads to control.

Virtual Labs

  1. Measurement → Decision → Action Lab

  2. Manual vs Automatic Control

  3. Setpoint Concept Tool

You will understand

  • What control really means

  • Role of feedback

  • Difference between manual and automatic control

Extras

  1. Cause-effect visual timeline

  2. Explain-it-back reflection box

Quick Check

  1. Application quiz

🔹 Phase 6: Fault Awareness & Reality Check

Goal: Build respect for real-world behavior and failures.

Virtual Labs

  1. Sensor Failure Awareness Lab

  2. Loop Break Visualization

  3. Wrong Measurement Consequence Tool

You will understand

  • How failures affect systems

  • Why correct measurement is critical

  • Why control cannot fix bad data

Extras

  1. Fault recognition checklist

  2. Instructor commentary notes

Quick Check

  1. Diagnostic thinking quiz

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