Multisensor Data Fusion
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Follow on Instagram for UpdatesMultisensor Data Fusion Syllabus — Unit-wise Content
The official GTU curriculum for Multisensor Data Fusion (subject code 3720318) as prescribed for AI · Semester 2 divides the course into 3 units, covering 44 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3720318)Unit 1 Design and Construction of Instruments
- Instrument Design
- The Designer’s Viewpoint
- Marketing Special Instruments
- Elements of Construction
- Electronic Components and Printed Circuits
- Surface-Mounted Assemblies
- Interconnections Materials
- Mechanical Manufacturing
- Functional Components
- Construction of Electronic Instruments
- Site Mounting
- Panel Mounting Bench-Mounting Instruments
- Rack-Mounting Instruments
- Portable Instruments Encapsulation
- Mechanical Instruments
- Kinematic Design
- Proximity Transducer
- Load Cell
- Combined Actuator Transducer
Unit 2 Instrument Installation and Commissioning
- General Requirements
- Storage and Protection
- Mounting and Accessibility
- Piping Systems
- Air Supplies
- Pneumatic Signals
- Impulse Lines
- Cable Types
- Cable Segregation
- Testing and Pre-Commissioning
- General Pre-Installation Testing
- Piping and Cable Testing
- Loop Testing Plant Commissioning
Unit 3 Reliability in Instrumentation and Control
- Reliability Principles and Terminology
- Definition of Reliability
- Reliability and MTBF The Exponential Failure Law, Availability Choosing
- Optimum Reliability
- Compound Systems
- Reliability Assessment
- Component Failure Rates
- Variation of Failure Rate with Time
- Failure Modes
- The Effect of Temperature on Failure Rates
- Estimating Component Temperature
- The Effect of Operating Voltage on Failure 15 Subject Code: 3720318 w.e.f
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