Machinery Fault Diagnosis & Signal Processing Course | IIT Kharagpur | Prof. A.R. Mohanty
Course Details
| Exam Registration | 82 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Mechanical Engineering, Manufacturing Processes and Technology |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 26 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Science of Predictive Maintenance: A Deep Dive into Machinery Fault Diagnosis
In today's high-stakes industrial landscape, unplanned machinery downtime is not just an inconvenience—it's a significant financial and safety risk. The field of Machinery Condition Monitoring has thus evolved from a niche specialty to a critical engineering discipline. For professionals aiming to lead in this domain, a structured, expert-led learning path is invaluable. This is precisely what the 12-week course "Machinery Fault Diagnosis and Signal Processing" offers, guided by one of India's foremost authorities, Prof. Amiya Ranjan Mohanty of IIT Kharagpur.
Why This Course is Essential for Modern Engineers
The course addresses a pressing industrial need driven by global competition and the imperative for operational reliability. It moves beyond traditional methods, equipping participants with a holistic toolkit that includes advanced signal processing, thermography, ultrasonics, and motor current signature analysis alongside core vibration and noise monitoring techniques. This blend of foundational principles and cutting-edge technology prepares you to implement robust predictive maintenance strategies.
Learn from an Industry Luminary: Prof. A. R. Mohanty
The curriculum's strength is amplified by the expertise of its instructor. Prof. Amiya Ranjan Mohanty brings over 30 years of dedicated experience in noise control and machinery condition monitoring. A PhD holder from the University of Kentucky, USA, his credentials are exemplary:
- Shyamal Ghosh and Sunanda Ghosh Chair Professor at IIT Kharagpur.
- Fellow of the Indian National Academy of Engineering (INAE).
- Fellow of the Acoustical Society of India and the Condition Monitoring Society of India.
- Lead researcher on approximately 100 sponsored and industrial consultancy projects.
- Author of the definitive textbook, "Machinery Condition Monitoring: Principles and Practices."
Learning from an instructor of this caliber ensures you gain insights grounded in deep academic knowledge and validated by extensive real-world application.
Detailed 12-Week Course Curriculum
The course is meticulously structured to build your competency from the ground up. Here’s a week-by-week breakdown:
| Week | Core Topics Covered |
|---|---|
| Week 1-2 | Maintenance Principles, FMECA, Vibration Analysis, Rotor Dynamics |
| Week 3-4 | Time & Frequency Domain Analysis, FFT, Modulation |
| Week 5-6 | Order Analysis, Instrumentation & Data Acquisition |
| Week 7-8 | Noise Monitoring, Bearing & Gear Fault Diagnosis |
| Week 9-10 | Specific Machine Analysis (Pumps, Fans, IC Engines), Oil & Wear Debris Analysis |
| Week 11-12 | Advanced NDT (Ultrasonics, Eddy Current), Real-World Case Studies & Failure Analysis |
Who Should Enroll?
- Postgraduate Students & Faculty: In Mechanical, Manufacturing, and allied engineering fields.
- Industry Professionals: Maintenance managers, reliability engineers, condition monitoring analysts, and plant engineers.
- Consultants & Researchers: Looking to deepen their practical and theoretical knowledge.
Prerequisites & Industry Recognition
A BE/B.Tech in Mechanical Engineering is required to fully grasp the advanced concepts. The course enjoys strong recognition from a wide spectrum of major industries, ensuring the skills you learn are directly applicable and in high demand. Key supporting organizations include:
- Public Sector: SAIL, ONGC, BHEL, NALCO, BARC, Indian Railways, HAL, DRDO.
- Private Sector: TATA Group, Jindal, Reliance, Birla Group.
Key Takeaways and Learning Outcomes
By completing this course, you will be able to:
- Understand and apply maintenance philosophies like FMECA for fault prognosis.
- Master vibration analysis techniques for rotating machinery.
- Process and interpret signals using time-domain, FFT, and order analysis methods.
- Diagnose faults in critical components like bearings, gears, pumps, and engines.
- Utilize complementary techniques like thermography, ultrasonics, and oil analysis.
- Solve real-world problems through evidence-based failure analysis.
In essence, this course is more than an academic program; it's a career investment. It transforms you from a reactive troubleshooter into a proactive reliability expert, capable of safeguarding machinery health, enhancing productivity, and contributing directly to the bottom line. Under the guidance of Prof. Mohanty, you will gain the confidence and competence to become a leader in the vital field of machinery fault diagnosis and condition monitoring.
Enroll Now →