Janis Terpenny

Pennsylvania State University | Penn State · Department of Industrial and Manufacturing Engineering

A system health index is a measurement of the health condition of complex systems. However, most of the health indices are developed based on strong assumptions. Consequently, existing health indices are not capable of measuring the actual deterioration behaviors with high accuracy. To address this issue, we introduce a probabilistic graphical mode...

Recent advances in sensing technologies have enabled engineers to collect big data to predict the remaining useful life (RUL) of complex systems. Current modeling techniques for RUL predictions are usually not able to quantify the degradation behavior of a complex system through a health index. Although some studies have been conducted to learn the...

An incipient fault refers to the first change point when a system starts to deteriorate. Early detections of incipient faults are crucial to the safety, reliability, and effective predictive maintenance of complex engineering systems. However, it is very difficult to detect incipient faults at the initial stage of system degradation processes. To a...

Data fusion integrates data from multiple sources to improve prediction performance. While significant research has been conducted to develop data-level and feature-level fusion methods, very few studies are performed to develop more effective decision-level data fusion methods. This research aims at developing a decision-level data fusion approach...

To improve the quality of additively manufactured parts, it is crucial to develop real-time process monitoring systems and data-driven predictive models. While various sensor- and image-based process monitoring methods have been developed to improve the quality of additively manufactured parts, very limited research has been conducted to predict su...

To realise high quality, additively manufactured parts, real-time process monitoring and advanced predictive modelling tools are crucial for accelerating quality assurance in additive manufacturing. While previous research has demonstrated the effectiveness of physics- and model-based diagnosis and prognosis for additive manufacturing, very little...

To realize high quality, additively manufactured parts, real-time process monitoring and advanced predictive modeling tools are crucial for accelerating quality assurance and quality control in additive manufacturing. While previous research has demonstrated the effectiveness of physics- and model-based diagnosis and prognosis for additive manufact...

Digital manufacturing aims to create highly customizable products with higher quality and lower costs by integrating Industrial Internet of Things, big data analytics, cloud computing, and advanced robots into manufacturing plants. As manufacturing machines are increasingly retrofitted with sensors as well as connected via wireless networks or wire...

Remaining useful life (RUL) prediction is crucial for the implementation of predictive maintenance strategies. While significant research has been conducted in model-based and data-driven prognostics, there has been little research reported on the RUL prediction using an ensemble learning method that combines prediction results from multiple learni...

The emergence of cloud computing, industrial internet of things (IIoT), and new machine learning techniques have shown the potential to advance prognostics and health management (PHM) in smart manufacturing. While model-based PHM techniques provide insight into the progression of faults in mechanical components, certain assumptions on the underlyin...

The objective of this research is to introduce a new ensemble prognostics method with degradation-dependent weights. Specifically, this method assigns an optimized, degradation-dependent weight to each learner (i.e., learning algorithm) such that the weighted sum of the prediction results from all the learners predicts the RUL of mechanical compone...

Manufacturers have faced an increasing need for the development of predictive models that help predict mechanical failures and remaining useful life of a manufacturing system or its system components. Model-based or physics-based prognostics develops mathematical models based on physical laws or probability distributions, while an in-depth physical...

Manufacturers have faced an increasing need for the development of predictive models that predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or components. Classical model-based or physics-based prognostics often require an in-depth physical understanding of the system of interest to develop closed-form mathema...

Small- and medium-sized manufacturers, as well as large original equipment manufacturers (OEMs), have faced an increasing need for the development of intelligent manufacturing machines with affordable sensing technologies and data-driven intelligence. Existing monitoring systems and prognostics approaches are not capable of collecting the large vol...

Cloud computing is an innovative computing paradigm that can bridge the gap between increasing computing demands in computationally intensive tasks for digital design and manufacturing applications and limited resources, scalability, flexibility, and agility in traditional computing paradigms. In light of the benefits of cloud computing, cloud-base...

With design teams becoming more distributed, the sharing and interpreting of complex data about design concepts/prototypes and environments has become increasingly challenging. The size and quality of data that can be captured and shared, directly affects the ability of receivers of that data to collaborate and provide meaningful feedback. To mitig...

Prognosis of machine degradation and failure propagation is essential to preventative maintenance scheduling and sustainable manufacturing. Emerging technologies such as Internet of Things (IoT) and cloud computing offer new opportunities for scaling up computing performance and capacity for machine monitoring and prognosis. This paper addresses ch...

In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and engineering analysis using the digital thread, data analytics, and high performance computing. Many of these initiatives such as Cloud-Based Design and Engineering analysis (CBDEA) fall under the umbre...

In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and manufacturing using cyber-physical systems, data analytics, and high performance computing. Many of these initiatives, such as cloud-based design and manufacturing, fall under the umbrella of what has...

Immersive virtual reality systems have the potential to transform the manner in which designers create prototypes and collaborate in teams. Using technologies such as the Oculus Rift or the HTC Vive, a designer can attain a sense of “presence” and “immersion” typically not experienced by traditional CAD-based platforms. However, one of the fundamen...

Over the past few decades, both small- and medium-sized manufacturers as well as large original equipment manufacturers (OEMs) have been faced with an increasing need for low cost and scalable intelligent manufacturing machines. Capabilities are needed for collecting and processing large volumes of real-time data generated from manufacturing machin...

With rapid innovation in the electronics industry, product obsolescence forecasting has become increasingly important. More accurate obsolescence forecasting would have cost reduction effects in product design and part procurement over a product’s lifetime. Currently many obsolescence forecasting methods require manual input or perform market analy...

Cloud computing is an innovative computing paradigm that can potentially bridge the gap between increasing computing demands in computer aided engineering (CAE) applications and limited scalability, flexibility, and agility in traditional computing paradigms. In light of the benefits of cloud computing, high performance computing (HPC) in the cloud...

From a business perspective, cloud computing has revolutionized the information and communication technology (ICT) industry by offering scalable and on-demand ICT services as well as innovative pricing plans such as pay-per-use and subscription. Considering the economic benefits of cloud computing, cloud-based design and manufacturing (CBDM) has be...

Designing product platforms can be challenging, requiring the design of multiple products to maximize commonality without compromising individual performance. Some suggest that the lack of systematic approaches for defining platforms and related product families has made many companies shy away from platform strategies. This article presents a stru...

Product development in todays global marketplace faces many challenges and pressures. Reducing development time, increasing quality and value, and reducing cost implications throughout the life cycle are critical. Strategies for dealing with rapidly changing technologies are very real and significant issues for product development as well. For low...

As products become more electronically complex and component lifecycles are shortened due to rapidly changing technologies, obsolescence management has become a challenging problem associated with sustainable products. One of the most common strategies to manage obsolescence is to purchase enough components to sustain the product over its life in o...

Diminishing Manufacturing Sources and Material Shortages (DMSMS) obsolescence of components and subsystems is a risk driver for long field -life defense systems such as aircraft, ships and avionics. Over their life in service, a substantial number of components required to produce and support such systems will become no longer available from the Or...

Purpose: This paper reports on research aimed at advancing understanding haptic capability and needs of users with low vision. The objective is to apply this understanding to the design of haptic-incorporated user interfaces. Method: Study 1 investigated the haptic perception between sighted participants and those with low vision through the mag...

While progress is modest, the number of women entering leadership positions in academia is rising. Many are watching to see just how women perform and whether they will remain in leadership positions. Several speculate, and rightly so, that to be effective leaders, women cannot completely emulate their male counterparts, but must recognize and util...

Cost analysis is essential to enterprises developing plans to deal with product obsolescence. Indeed, cost analysis drives the optimization behind obsolescence mitigation planning and the maintenance of long field life sustainment-dominated systems. There are many different obsolescence mitigation solutions. Determining the optimum plan requires in...

In recent years, ontologies and ontology-based information systems have become widely used in knowledge management and data integration. While the benefits and capabilities are clear, the rapid growth and adoption of such systems have brought challenges to the efficient development, management and optimization of ontologies. For example, ontology d...

Despite some progress in increasing the numbers of women and minorities in engineering over the past 30 years, their full participation in the discipline has yet to be achieved, particularly in engineering academia. One cause is the "leaky pipeline"; even after women and minorities choose to major in engineering, they drop out at rates higher than...

In product design, passing undetected errors to the downstream can cause error avalanche, could diminish product acceptance and largely increase the overall cost. Yet, it is difficult for designers to collect all the related potential errors from different departments in the initial design phase. In order to deal with these problems, this paper put...

Fast moving technologies have caused high-tech components to have shortened life cycles, rendering them obsolete quickly. Obsolescence is a significant problem for systems with operational and support life that are much longer than the procurement lifetimes of their constituent components. Design refresh planning is a strategic way of managing obso...

In today's market, companies are forced to balance the requirements of sales growth through increased product complexity against the requirements of cost control and operational efficiency. Therefore how to meet the increasing needs of customers, while managing the impact of product complexity becomes a great challenge for a company to gain competi...

University-corporate collaboration develops tool that helped reduce tire product complexity at Goodyear. Today, companies are faced with pressure to increase variety in product offerings. While increasing variety and choices pleases customers and increases market share, the costs of doing so can be significant. Managing a diverse mix of products an...

The impact and pervasiveness of diminishing manufacturing sources and material shortages (DMSMS) obsolescence are increasing due to rapidly advancing technologies which shorten the procurement lives of high-tech parts. For long field-life systems, this has led to an increasing disparity in the life cycle of parts as compared to the life cycle of th...

In the past, it was very common for students to come to the university to study engineering with basic design and build skills acquired through hands-on experiences acquired through play with friends, work on farms, work on cars and general tinkering. Engineering students were predominantly white males and eager to dive into design projects that co...

A key role of universities is to prepare students to work in their chosen profession upon completion of their degree program. Engineering capstonedesign courses are often the only required courses that challenge students to draw on nearly all of the students' previous collegiate learning experiences and to synthesize and apply these to creating a n...

Don't give me the theory, just show me how to do it! Have your students ever said that? Theory is what allows someone to know why something works and whether you might expect it to work in a new context. Education theory does the same, yet the theories and principles are difficult to gather, digest and apply. This workshop is intended to introduce...

Evaluation is an old concept and, at least implicitly, all faculty members do it. So why should you attend a workshop on the subject? Here are a few reasons: (1) More NSF reviewers expect to see an evaluation plan in a proposal. (2) To ensure educational research progresses, we must know what works and how well it works. (3) Properly done, formativ...

With today's level of market competition and demand for diverse product offerings, more companies are now pressured to increase product variety as a strategy to maintain and increase market share. In addition to its associated direct costs, variety is considered the main source of product complexity, which has been proven to negatively impact produ...

When an original equipment manufacturer no longer supplies and/or supports a product then the product is considered to be obsolete. Obsolescence is a significant problem for systems whose operational and support life is much longer than the procurement lifetimes of their constituent components. Unlike high-volume, commercial products, which are qui...

The impact and pervasiveness of product obsolescence are increasing due to rapidly advancing technologies which shorten the lives of high-technology components. For long field-life systems, this has led to an increasing disparity in the life cycle of components as compared to the life cycle of the overall system. This disparity is challenging since...

dThe goal of the 2010 Capstone Design Conference held in Boulder, CO in June 2010 was to build upon the success of the inaugural 2007 conference and grow the community of educators, students, and industry members to discuss, analyze, and improve capstone design education. Focused around the primary theme of capstone pedagogy, the 2010 Capstone Desi...

As a diverse discipline, robotics is a synthesis of a variety of subjects such as kinematics, dynamics, controls, mechatronics, mechanical design, artificial intelligence etc. The crossover of multiple areas makes the instruction of robotics courses a challenging task. Traditional robotics courses in mechanical and electrical engineering mainly foc...

This paper puts forward a multiplatform identification method to overcome the limitations of a single platform strategy when mass customization is required. The method is applied to redesign or consolidate an existing product family. The method consists of four steps: (1) the determination of component values, (2) the estimation of component redesi...

Ontologies and ontology-based information systems are becoming more commonplace in knowledge management. For engineering applications such as product design, ontologies can be utilised for knowledge capture/reuse and frameworks that allow for the integration and collaboration of a wide variety of tools and methods as well as participants in design...

There are many challenges associated with the design and realization of fast changing highly customized products. One promising approach is to implement design for manufacturing (DFM) strategies aimed at reducing production costs without compromising product quality. For manufacturers doing business in a globally distributed market place, effective...

Consumers of electronic products (e-products) increasingly purchase new product and dispose of the last-generation of fully functional product for the sake of newer models with added functionality brought on by advances in technology. This consumer behavior is referred to as technological obsolescence, rendering older versions of the product obsole...

This paper describes a framework that integrates a collection of influential student success theories with the customer needs identification method that is core to good engineering design. The Student Needs Identification and Prioritization Framework is presented to provide: A method for translating the voice of the customers (i.e., students, unive...

Platform-based product family design and development can bring economies of scale to manufacturers who offer several products and desire mass production. While strategic in terms of managing direct costs, managing overhead costs related to product families can be complex. Consequently, accurately accessing the economic benefits of a platform strate...

This paper reports on the major undertaking of providing real problems with actual community partners as the basis of design projects for approximately 900 first-year engineering students. The initiative was dubbed the ROXIE project, 'Real Outreach eXperiences In Engineering'. The goal was to have engineering students work on real projects with act...

In this paper, the authors explore sustainability issues that exist in the development of hands-on activities for classes with large enrollments. Specifically, the authors study four different team-building activities, all with varying levels of resource commitment, to assess potential tradeoffs between cost, environmental impact, and learning obje...

Currently, computer-based support tools are widely used to facilitate the design process and have the potential to reduce design time, decrease product cost and enhance product quality. Although there are promising information systems to manage product lifecycle and product-related data, including product data management (PDM) and product lifecycle...

Products evolve to accommodate competitive market pressures, rapid rates of technology change, and constant improvements in performance and functionality. While adding functionality and value, the fast moving technologies also make products obsolete quickly. One of the primary reasons for product obsolescence is technological obsolescence which res...

The creation of an appropriate, meaningful design experience for a first-year engineering design course is challenging as the instructor must balance resource constraints with broad learning objectives and a diverse, and often very large, enrollment. In this paper, the authors present the task of developing a design project for a first-year enginee...

As a diverse discipline, robotics is a synthesis of a variety of subjects such as kinematics, dynamics, controls, mechatronics, mechanical design, artificial intelligence etc. The crossover of multiple areas makes the instruction of robotics courses a challenging task. Traditional robotics courses in mechanical and electrical engineering mainly foc...

This chapter describes research toward creating a knowledge support system (KSS) that consists of knowledge representation, knowledge discovery, and recommendation for product family design. For the proposed KSS, we use an ontology to represent products as functional-based hierarchical structures and describe cost information related to product des...

The research presented in this paper is a follow-up of our prior work involving the development of a graphical modeling tool to support designers at the conceptual design stage. To close the loop for supporting designers in generating design concepts flexibly, fast, and easily, an ontology-based approach for knowledge management that works along wi...

This paper reports preliminary results from a study of physical and virtual dissection activities. Nine universities are developing virtual dissection tools to supplement and/or replace physical dissections. Student engagement was measured using the Situational Intrinsic Motivational Scale (SIMS). We describe the assessment methodology and prelimin...

To support the concurrent design processes of mechatronic subsystems, unified mechatronics modeling and cooperative body–brain coevolutionary synthesis are developed. In this paper, both body-passive physical systems and brain-active control systems can be represented using the bond graph paradigm. Bond graphs are combined with genetic programming...

In recent years, a number of innovative activities involving early design/hands on experiences have been introduced into first and second semester freshman courses at Virginia Tech. The objective is to excite freshmen about the engineering profession and to provide early exposure to topics essential to their preparation as globally and socially con...

Current engineering design is a multi-step process proceeding from conceptual design to detailed design and to evaluation and testing. It is estimated that 60–70% of design decisions and most innovation occur in the conceptual design stage, which may include conceptual design of function, operating principles, lavout, shape, and structure. However,...

High quality, high impact and economical products and systems are important goals for an enterprise. The usage of product families can be strategic to achieving these goals, yet defining these families can be challenging, requiring the consideration of numerous cost factors. This requires bringing together a great number of heterogeneous data sourc...

This paper discusses the concepts associated with a new methodology, design for adaptation (DFAD), under development for achieving advanced sustainable designs. The DFAD methodology concept is based on the hypothesis that product life ends because a product is unable to adapt to change. A product may be retired for myriad reasons including that it...

Due to increasing student enrollments and limited resources, small classes are evermore being replaced with large lectures. It is therefore essential to quality educational programs to address the challenges of student learning and engagement in large classes. This paper explains connections between basic learning research and practical strategies...