 Prof. Michael G. Pecht
Phone: 301-405-5323
Email: pecht@umd.edu
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Class Timings
Monday, 9:30 am to 12:10 pm
Also available as an online class
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 Dr. Michael Azarian
Email: mazarian@umd.edu
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 Dr. NamKyoung Lee
Email: nklee@umd.edu
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Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. In recent years, PHM has emerged as a key enabling technology to provide an early warning of failure; to forecast maintenance as needed; to reduce maintenance cycles; to assess the potential for life extensions, and to improve future designs and qualification methods. In the future, PHM will enable systems to assess their own real-time performance (self-cognizant health management and diagnostics) under actual usage conditions and adaptively enhance life cycle sustainment with risk-mitigation actions that will virtually eliminate unplanned failures.
The application areas of PHM include aerospace structures and avionics, automobiles, civil structures, consumer and industrial electronics, defense infrastructure and medical equipment, and machine tools. Some of the topics covered in this course include:
- Fundamentals of PHM
- Data Pre-processing (Data Cleansing, Feature Extraction, Feature
- Selection, Feature Learning)
- Internet of Things, Big Data, and Sensors for PHM
- Physics-of-Failure Approach to Prognostics
- Machine Learning and Artificial Intelligence for Anomaly Detection,
- Diagnostics, and Prognostics
- Bayesian Statistics, Uncertainty Interpretation, Quantification, and
- Management in Prognostics
- PHM Cost and Return on Investment
- Valuation and Optimization of PHM-enabled Maintenance Decisions
- Software Tools for PHM
- Predictive Maintenance
- PHM Applications in Industry
- Challenges and Opportunities in PHM
This is an interdisciplinary course, and students in many areas, including aerospace, civil, electrical, mechanical engineering, and engineering management, are welcome. Students will get the opportunity to learn the basic scientific foundations that enable PHM and work on its implementation for real-life applications through projects. Experts from industry, government, and academia will teach guest lectures in this course.
The knowledge of PHM methodologies and technologies will prepare students to develop and implement PHM. Completing this course will give you the fundamental knowledge and skills to develop and implement PHM concepts for aerospace, civil, electrical, electro-mechanical, electronic, and mechanical systems. Specifically, you will have the knowledge needed to:
- Assess methods for damage estimation of components and systems due to field loading conditions
- Assess the cost and benefits of prognostic implementations
- Develop algorithms and models for data processing and feature engineering
- Develop novel methods for in-situ monitoring of products and systems in actual life-cycle conditions
- Enable condition-based (predictive) maintenance
- Identify and analyze failure precursors based on failure mechanisms
- Increase system availability through an extension of maintenance cycles and/or timely repair actions
- Reduce the occurrence of no fault found (NFF)
- Subtract life-cycle costs of equipment from the reduction in inspection costs, downtime, and inventory
- Understand data analytics (machine learning) methods used for anomaly detection, diagnostics, and prognostics
- Understand the logistics and supply-chain challenges in PHM implementation.
For more information, contact Prof. Michael Pecht.
Frequently Asked Questions for Advanced Special Students
1. Criteria for admission:
There are three options to take UMD graduate courses without pursuing a graduate degree: Advanced Special Student Status, Visiting Graduate Student Status, or Golden Identification Cardholder Status (for Senior Citizens). Among these three options, the Advanced Special Student option is the most suitable option for most practicing engineers.
2. To qualify as an Advanced Special Student, you must:
- Have achieved a cumulative 3.0 (on a 4 point scale) average for work done at the undergraduate level; OR
- Have earned a master’s, doctoral, or a post-baccalaureate professional degree (MD, JD, DVM, etc.) from a regionally accredited institution; OR
- Have attained a score that places you in the upper 50th percentile of an appropriate national standardized aptitude examination, such as the GRE, GMAT, or Miller Analogies Test; OR
- Provide a letter of support from the graduate director of the degree program in which you plan to take a course (we will help applicants obtain this letter)
- Submit a personal statement.
3. To apply, applicants must:
Submit a completed online application, which includes uploading official transcripts showing a bachelor’s degree from a regionally accredited institution and a personal statement. After successfully submitting the application, please send out an email to the Mechanical Engineering Graduate Office informing them that you have completed the application for taking the class.
4. Other information:
- If the interested prospective students are NOT US citizens or permanent residents, contact International Student and Scholar Services to determine how to apply for Advanced Special Student status. US citizens or permanent residents with international credentials, can apply for Advanced Special Student Status here.
- To apply for Advanced Special Student status, international applicants may be required to submit results of English proficiency tests (TOEFL, IELTS or PTE) unless the Advanced Special Student applicant holds a degree from one of the waived countries (on previous link). If an Advanced Special Student is not a native English speaker and doesn’t have a degree from of those countries, then he/she MUST submit an English proficiency score to be considered for admission.
- Please visit the following website for more information, and the DC Consortium Page link is here.
5. Fall 2023 application deadline (Advanced Special Student):
The deadline for application is the first day of classes, August 28th, 2023.
6. Course Registration:
Advanced Special Students should register to section RE01. If there is a confusion, please contact the Mechanical Engineering Graduate Office. (megrad@umd.edu, 301-405-8601)
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