Machine Learning algorithms powered by mathematical models are disrupting the manufacturing sector by predicting machinery failure in advance.
Vaishnavi Seetharama, our next pathbreaker, Reliability & Data Science Specialist at ABB, uses advanced artificial intelligence techniques to optimize equipment performance and minimize downtime.
Vaishnavi talks to Shyam Krishnamurthy from The Interview Portal about her decision to do her master’s in gas turbines which stemmed from her fascination with the aerospace industry, where maintaining 99% reliability is crucial.
For students, never underestimate the power of learning new skills. In today’s fast-paced world, the ability to adapt and acquire new knowledge is more valuable than ever.
Vaishnavi, can you tell us what were your initial years like?
As a kid growing up in the vibrant city of Mysore, I found myself drawn to many different interests. While in school, I discovered a passion for sports and painting. These hobbies allowed me to explore my creativity and develop important skills outside of the classroom. Inspired by my father, who was a civil engineer, and my mother, who was a teacher, I was encouraged to pursue my curiosity and dream of creating something unique. These early interests played a significant role in shaping my career path and fueling my desire to innovate and make a difference in the world.
What did you do for graduation/post graduation?
After completing my schooling, I embarked on an exciting journey of higher education. I pursued my graduation in Industrial Production Engineering, where I learned about the fascinating world of manufacturing and production processes. Eager to delve deeper into a specialized field, I went on to pursue a Master of Science degree in Gas Turbines from Cranfield University in the United Kingdom. There, I had the opportunity to study advanced concepts related to energy and propulsion systems. These experiences broadened my knowledge and equipped me with the skills needed to contribute to the field of engineering in meaningful ways.
My decision to focus on gas turbines stemmed from my fascination with the aerospace industry, where maintaining 99% reliability is crucial. I was drawn to the intricate machinery of gas turbines and desired to delve deep into understanding their mechanisms. Choosing gas turbines as my field of study allowed me to explore the fascinating world of thermal power and delve into the complexities of these massive machines. Moreover, my commitment to this field was further solidified by the support I received through scholarships, which covered my entire tuition fees. These scholarships not only eased the financial burden but also served as a motivating factor for me to excel in my studies and pursue my passion for gas turbines with unwavering dedication.
What were some of the key influences that led you to such an offbeat, unconventional, and unique career in Reliability Engineering/Prognostics?
Choosing a career in prognostics was a journey guided by various factors. Firstly, the allure of mathematical calculations that seem like magic captivated me. The ability to predict outcomes using numbers and formulas fascinated me deeply, especially when combined with the power of AI technologies. Secondly, having mentors who encouraged me to ask relevant questions throughout my career journey was pivotal. Their guidance helped me understand the importance of seeking knowledge from those with experience. Lastly, my passion for learning different programming languages, from VBA, SQL, Matlab, Fortran, Python etc ignited my interest in creating new solutions. This journey not only fascinated me but also enhanced my ability to innovate and contribute meaningfully to the field of prognostics.
How did you plan the steps to get into the career you wanted? Or how did you make a transition to a new career? Tell us about your career path
My career journey began with an internship at TVS Motor Company, where I delved into the world of reliability engineering for a month.
This experience sparked my interest in ensuring products functioned smoothly and reliably. Building on this, my next internship at Schneider Electric lasted six months, providing me with valuable insights into the realm of industrial automation and energy management.
Armed with a degree in Industrial Production Engineering, I landed my first job back at TVS Motor Company as a Reliability Engineer, where I spent two and a half years honing my skills in ensuring product Reliability through Statistical Calculation.
Imagine you’re planning a long trip with your family on an airplane. You want to make sure the plane is reliable and won’t have any unexpected issues during your journey. This is where reliability engineering comes in. Engineers use math to calculate the probability of different parts of the plane failing and develop strategies to prevent these failures from happening. For instance, they might design engines to withstand extreme temperatures or create backup systems in case something goes wrong. By applying reliability engineering principles, engineers ensure that airplanes can fly safely and passengers can reach their destinations without worrying about unexpected breakdowns. So, the next time you board a plane, remember that reliability engineering plays a crucial role in keeping you safe in the skies!
Subsequently after my Masters, I transitioned to HCL Technologies, continuing my work in reliability engineering. However, it was during my tenure at Rolls Royce that I truly found my passion for prognostics, the ability to predict equipment failures. This passion led me to ABB, where I currently work, focusing on reliability, AI, and prognostics. Along this journey, I’ve relied on my approach of continuous learning, leveraging contacts, and seeking mentorship to grow in my career. Each internship and job opportunity has shaped my thought process and expertise, culminating in where I am today.
How did you get your first break?
My first break in the professional world came through campus placements during my time at engineering college. The campus placement process provided me with the opportunity to showcase my skills and qualifications to various companies recruiting from our institution. After going through interviews and selection rounds, I was fortunate enough to secure a job as a Reliability Engineer at TVS Motor Company. This first break not only kickstarted my career but also instilled in me a sense of confidence and enthusiasm for the journey ahead.
What were some of the challenges you faced? How did you address them?
Throughout my career journey, I encountered several challenges that tested my resilience and problem-solving abilities. One significant obstacle arose from my mechanical background while delving into the realm of programming languages. As someone with a strong foundation in mechanical engineering, learning multiple programming languages seemed daunting at first. However, I tackled this challenge head-on by dedicating extra time to self-study and seeking guidance from colleagues and online resources. Through persistence and determination, I gradually gained proficiency in languages like Python, SQL, Matlab and Fortran, leveraging these newfound skills to enhance my performance and contribute more effectively to projects.
Another major challenge I faced was balancing the demands of being a new mother while continuing my career at ABB. Juggling the responsibilities of motherhood alongside professional obligations presented a formidable obstacle, requiring careful time management and prioritization. To overcome this challenge, I implemented strategies such as effective scheduling, delegation of tasks where possible, and open communication with my colleagues and supervisors about my situation. Additionally, I sought support from family, friends, and parental leave policies, which provided valuable assistance and flexibility during this transitional period. By adopting a proactive and adaptable approach, I successfully navigated the complexities of being a working mother, maintaining both my career trajectory and family responsibilities .
Where do you work now? Can you tell us about your current role?
I work for ABB, in my job in AI-based prognostics, I focus on solving problems related to predicting equipment failures before they happen. This involves using advanced artificial intelligence techniques to analyze data and identify patterns that indicate potential issues with machinery. By doing this, I help companies avoid costly breakdowns and keep their operations running smoothly. To excel in this role, I need a combination of knowledge about machines and expertise in machine learning and AI techniques. I acquired these skills through a combination of formal education, such as studying engineering and hands-on experience gained through internships and on-the-job training.
What’s a typical day like?
A typical day in my job involves analyzing data collected from various machines, designing mathematical and predictive models, and collaborating with colleagues to implement solutions. Additionally, I often attend meetings with clients to understand their specific needs and discuss potential improvements to our prognostic systems. Despite the technical challenges, what I love most about this job is the opportunity to create something new that has a positive impact on the world. Knowing that my work helps prevent equipment failures and improves efficiency in various industries gives me a sense of fulfillment and purpose.
How does your work benefit society?
My work in prognostics directly benefits society in numerous ways. By accurately predicting equipment failures before they occur, I help companies avoid costly downtime, reduce maintenance expenses, and ensure the continuity of essential services. For example, in industries such as manufacturing, transportation, and energy production, unplanned equipment failures can lead to significant disruptions in operations, causing delays in production and potential safety hazards. By implementing proactive prognostic solutions, we contribute to increased reliability and safety across various sectors, ultimately enhancing productivity and reducing environmental impact.
Moreover, the societal impact of my work extends beyond just economic benefits. By optimizing machinery performance and minimizing downtime, we contribute to greater sustainability by reducing resource consumption and waste generation. Overall, my work in prognostics serves as a valuable tool for improving efficiency, safety, and reliability across diverse industries, ultimately benefiting society as a whole.
Tell us an example of a specific memorable work you did that is very close to you!
One of the most memorable projects I worked on was the time series forecasting of the remaining useful life of aircraft engines. This project was especially close to my heart because it involved using advanced techniques to predict when an aircraft engine might need maintenance or replacement. By analyzing large amounts of data collected from sensors embedded within the engine, I was able to develop models that could accurately forecast how much longer the engine could be safely operated before encountering critical issues. This project not only challenged me to apply my knowledge of machine learning and data analysis but also reminded me of the importance of my work in ensuring the safety and reliability of aircraft for passengers and crew. It was incredibly rewarding to know that my efforts could potentially save lives and prevent accidents by allowing airlines to proactively address maintenance needs before they escalate into serious problems.
Your advice to students based on your experience?
Based on my experiences, my advice to students are as follows. Firstly, don’t let fear hold you back from pursuing your dreams. Throughout my journey, there were many moments where I felt scared or uncertain, but I learned that pushing through those fears often led to the most rewarding experiences. Remember that it’s okay to feel afraid, but don’t let that fear stop you from taking risks and chasing your goals. Whether it’s applying for a challenging internship or exploring a new field of study, embrace the unknown with courage and determination.
Secondly, never underestimate the power of learning new skills. In today’s fast-paced world, the ability to adapt and acquire new knowledge is more valuable than ever. Don’t be afraid to step outside of your comfort zone and try something new. Whether it’s learning a programming language, mastering a musical instrument, or picking up a new sport, know that it’s never too late to expand your skill set. With dedication and perseverance, you can learn anything you set your mind to. So, embrace opportunities for growth and never stop learning, because the journey of self-improvement is a lifelong adventure.
Future Plans?
My future plans revolve around gaining expertise in machine learning and AI, as I believe these fields hold immense potential to revolutionize various industries and solve complex problems. With rapid advancements in technology, I am eager to delve deeper into the intricacies of machine learning algorithms, neural networks, and artificial intelligence systems. My goal is to not only understand the theoretical foundations of these concepts but also gain practical experience through hands-on projects and real-world applications. By immersing myself in this dynamic and evolving field, I aspire to become a proficient practitioner capable of developing innovative solutions that leverage the power of machine learning and AI. Ultimately, I envision using my expertise to make meaningful contributions to society, whether it’s by improving healthcare outcomes.