Practical Training for Data Acquisition, Signal Conditioning, Sensors, Test Systems & Engineering Data Analysis
Practical corporate training covering data acquisition fundamentals, sensors, signal conditioning, analog and digital signals, DAQ hardware, sampling, data logging, test system architecture, measurement configuration, data analysis, and test automation, with applications in test & validation, R&D, manufacturing, automotive, and industrial testing.
Complete Syllabus
1. Data Acquisition Fundamentals
Data Acquisition Fundamentals; Measurement Systems; DAQ Architecture; Sensors & Transducers; Analog & Digital Signals; Measurement Channels; Signal Flow; Data Logging; Real-Time Measurement; Test System Fundamentals; DAQ Applications.
2. Sensors & Measurement Inputs
Force Sensors; Load Cells; Torque Sensors; Pressure Sensors; Displacement Sensors; LVDTs; Accelerometers; Temperature Sensors; Strain Gauges; Current & Voltage Sensors; Sensor Selection; Sensor Specifications; Measurement Range; Accuracy; Sensitivity.
3. Signal Conditioning
Signal Conditioning Fundamentals; Amplification; Filtering; Isolation; Sensor Excitation; Wheatstone Bridges; Strain Gauge Conditioning; IEPE Signal Conditioning; Voltage Signals; Current Signals; 0–10 V; 4–20 mA; Noise Reduction; Grounding; Shielding.
4. Analog & Digital Signals
Analog Signals; Digital Signals; Voltage Measurement; Current Measurement; Differential Inputs; Single-Ended Inputs; Digital Inputs & Outputs; Pulse Signals; Frequency Signals; Encoder Signals; Signal Scaling; Offset; Gain; Signal Conversion.
5. Sampling & Data Conversion
Sampling Fundamentals; Sampling Frequency; Nyquist Theorem; Aliasing; ADC; DAC; Resolution; Quantization; Dynamic Range; Bit Resolution; Frequency Response; Anti-Aliasing Filters; Sample Rate Selection; Data Acquisition Accuracy.
6. DAQ Hardware & Configuration
DAQ Hardware; DAQ Modules; Analog Input Modules; Analog Output Modules; Digital I/O Modules; Counter & Timer Modules; Multiplexing; Channel Configuration; Sensor Excitation; Channel Scaling; Hardware Synchronization; Triggering; Clock Configuration; DAQ System Selection.
7. Test System Architecture
Test System Fundamentals; Measurement Architecture; Sensor → Signal Conditioning → DAQ → PC; Test Bench Instrumentation; Centralized & Distributed DAQ; Real-Time Systems; Hardware Integration; Communication Interfaces; System Synchronization; Test System Design; Instrument Selection.
8. Data Logging & Test Measurement
Data Logging Fundamentals; Continuous Data Logging; Triggered Acquisition; Time-Based Acquisition; Event-Based Acquisition; Measurement Recording; Test Sequences; Channel Configuration; Sampling Configuration; Data Storage; File Formats; Test Data Management; Measurement Traceability.
9. Engineering Data Analysis
Engineering Data Analysis; Time-Series Data; Minimum & Maximum Values; Peak & RMS Analysis; Average Values; Statistical Analysis; Trend Analysis; Filtering; Frequency Analysis; FFT Fundamentals; Test Result Comparison; Pass/Fail Analysis; Engineering Graphs; Data Interpretation.
10. Test & Validation Systems
Test Requirements; Test Plans; Test Matrix; Test Bench Instrumentation; Sensor Selection; DAQ Configuration; Test Sequence Development; Test Execution; Test Monitoring; Data Recording; Test Result Analysis; Validation Reports; Test Documentation; Measurement System Verification.
11. Test Automation & System Integration
Test Automation Fundamentals; Automated Test Sequences; Instrument Communication; Hardware Integration; PLC Integration; Controller Integration; Digital Communication; Ethernet; CAN; Serial Communication; Trigger-Based Testing; Automated Data Logging; Automated Test Reports; System Troubleshooting.
12. Practical DAQ & Test Applications
Motor Testing; Torque-Speed Measurement; Force Testing; Pressure Testing; Vibration Testing; Component Testing; Endurance Testing; Performance Testing; Environmental Testing; Production Testing; Research & Development Testing; Automated Test Benches; Practical DAQ Case Studies.
Practical Calculations
Sampling Rate | Nyquist Frequency | ADC Resolution | Quantization | Signal Scaling | Sensor Sensitivity | Measurement Accuracy | Voltage | Current | Power | Frequency | RMS | Peak & Peak-to-Peak | Data Rate | Storage Requirement | Test Duration | Channel Capacity
Practical Tools & Formats
DAQ Channel Configuration Sheet | Sensor Selection Sheet | Signal Conditioning Sheet | Test Measurement Matrix | DAQ Configuration Sheet | Sampling Rate Calculator | Test Data Collection Sheet | Test Sequence | Test Plan | Test Data Analysis Sheet | Test Report | Measurement System Assessment
Overall Training Flow
Test Requirement → Measurement Selection → Sensor Selection → Signal Conditioning → DAQ Configuration → Sampling & Acquisition → Data Logging → Data Analysis → Test Evaluation → Validation Report
What Participants Will Learn
Participants will develop practical skills in DAQ system architecture, sensor selection, signal conditioning, sampling, ADC concepts, DAQ hardware configuration, data logging, test system design, engineering data analysis, and automated test measurement.
Training Methodology
Concepts → Worked Examples → Measurement Calculations → Sensor Selection → DAQ Configuration → Data Acquisition → Engineering Data Analysis → Test Applications → Case Studies
Trainer Background
Manjunath Chunamur
Engineering professional with experience in test and validation, reliability engineering, calibration, measurement and instrumentation, and engineering data analysis, bringing practical industrial examples and application-focused learning.
Why Learn from Chunamur Labs?
- Practical data acquisition training
- Strong focus on measurement and engineering applications
- Sensor and transducer selection
- Signal conditioning
- DAQ hardware and channel configuration
- Sampling and data conversion
- Test system architecture
- Test & validation applications
- Engineering data analysis
- Automated test systems
- Test bench instrumentation
- Practical engineering case studies
- Customized corporate training
Customized Corporate Training
Training can be customized based on your organization’s test benches, sensors, DAQ hardware, measurement requirements, validation programs, test procedures, data analysis requirements, automation needs, and engineering objectives.