Faculty

Institution

Unit

Venue

Janis Terpenny

Professor Emeritus

Iowa State University

Affiliations

College of Engineering

Industrial and Manufacturing Systems Engineering

Janis Terpenny is currently serving as a College Of Engineering Professor Emeritus at Iowa State University.

Honors

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Experiences

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Education

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Janis Terpenny

Iowa State University

Professor Emeritus

You can click a keyword to filter the displayed items

engineering systems engineering engineering education manufacturing computer science mechanical engineering machine learning ontology (information science) higher education product platform planning manufacturing technology manufacturing engineering ontology engineering engineering design cloud computing reliability engineering additive manufacturing semantic web life prediction service life prediction artificial intelligence deep learning manufacturing science data fusion smart manufacturing survival analysis computer-integrated manufacturing digital manufacturing student learning online learning virtual classroom cloud-based design bond graphs ontology development advanced manufacturing technologies industrial informatics genetic programming system safety information technology distance education women's studies production engineering tool wear condition monitoring component technology sustainable manufacturing student engagement human-centered design interdisciplinary design product life cycle random forests degradation-dependent weights product complexity tool wear prediction product family planning obsolescence risk decision support engineering analysis graduate programs production research mechanical science fog computing process monitoring prognosis prognostic evaluation production technologies predictive modeling cloud-based manufacturing fault detection instrumentation engineering failure detection system reliability resilience engineering reliability management machine learning algorithms comparative study engineering economics engineering management engineering design process management engineering design automation advanced design design engineering design education integrated design

Notable Scholarly Works

Notable Federal Grants

Collaborators

Changing the Landscape of the Digital Workforce and Dei: A Call to Action for Engineering Education. (2024)

Janis TerpennyTracee Gilbert

engineering educationdigital transformationengineeringdigital workforce

Leveraging Active Learning for Failure Mode Acquisition. Sensors (2023)

Amol KulkarniJanis TerpennyVittaldas Prabhu

systems engineeringmachine learningfailure mode acquisitionactive learning

Remaining Useful Life Prediction Using Graph Convolutional Attention Networks With Temporal Convolution-Aware Nested Residual Connections. Reliability Engineering & System Safety (2023)

Yupeng WeiDazhong WuJanis Terpenny

service life predictiondeep learningreliability predictionmachine learningreliabilitylife predictionresidual connectionssystem safetysystems engineeringreliability engineering

Bearing Remaining Useful Life Prediction Using Self-Adaptive Graph Convolutional Networks With Self-Attention Mechanism. Mechanical Systems and Signal Processing (2022)

Yupeng WeiDazhong WuJanis Terpenny

service life predictiondeep learningmechanical sciencemachine learninglife predictionself-attention mechanismmechanical engineeringsurvival analysissystems engineeringsignal processingmechanical systemsapplied mathematics

Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction. Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems (2022)

Yupeng WeiDazhong WuJanis Terpenny

service life predictionengineeringreliabilitylife predictionsurvival analysisnondestructive testingsystems engineeringreliability engineeringcondition monitoring

Learning the Health Index of Complex Systems Using Dynamic Conditional Variational Autoencoders. Reliability Engineering & System Safety (2021)

Yupeng WeiDazhong WuJanis Terpenny

digital healthdeep learninghealth informaticshealth sciencesengineeringsystem reliabilitydependability analysisreliabilitysystem safetysafety engineeringsystems engineeringreliability managementresilience engineeringreliability engineeringhealth index

Sensor Selection Framework for Designing Fault Diagnostics System. Sensors (2021)

Amol KulkarniJanis TerpennyVittaldas Prabhu

computer sciencehealth technologysensor selection frameworkinstrumentationsensor designsystems engineeringsensor technology

An Inter University Collaborative Undergraduate Research Learning Experience for Product Platform Planning. (2020)

Steve ShooterSoundar KumaraRobert StoneTimothy SimpsonJanis Terpenny

systems engineeringproduct platform planningundergraduate researchengineering

An Online Learning Tool for Product Platform Planning. (2020)

Anand SrinivasanSteve ShooterSoundar KumaraRobert StoneTimothy SimpsonJanis Terpenny

online learningproduct platform planningmarketing

Bridging Theory and Practice in a Senior Level Robotics Course for Mechanical and Electrical Engineers. (2020)

Ping RenJanis TerpennyDennis HongRichard Goff

electrical engineeringroboticsmechanical engineeringengineering education

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Janis Terpenny

Professor Emeritus

Iowa State University

Affiliations

College of Engineering

Industrial and Manufacturing Systems Engineering

Janis Terpenny is currently serving as a College Of Engineering Professor Emeritus at Iowa State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Janis Terpenny

Iowa State University

Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Changing the Landscape of the Digital Workforce and Dei: A Call to Action for Engineering Education. (2024)

Janis TerpennyTracee Gilbert

engineering educationdigital transformationengineeringdigital workforce

Leveraging Active Learning for Failure Mode Acquisition. Sensors (2023)

Amol KulkarniJanis TerpennyVittaldas Prabhu

systems engineeringmachine learningfailure mode acquisitionactive learning

Remaining Useful Life Prediction Using Graph Convolutional Attention Networks With Temporal Convolution-Aware Nested Residual Connections. Reliability Engineering & System Safety (2023)

Yupeng WeiDazhong WuJanis Terpenny

service life predictiondeep learningreliability predictionmachine learningreliabilitylife predictionresidual connectionssystem safetysystems engineeringreliability engineering

Bearing Remaining Useful Life Prediction Using Self-Adaptive Graph Convolutional Networks With Self-Attention Mechanism. Mechanical Systems and Signal Processing (2022)

Yupeng WeiDazhong WuJanis Terpenny

service life predictionengineeringreliabilitylife predictionsurvival analysisnondestructive testingsystems engineeringreliability engineeringcondition monitoring

Learning the Health Index of Complex Systems Using Dynamic Conditional Variational Autoencoders. Reliability Engineering & System Safety (2021)

Yupeng WeiDazhong WuJanis Terpenny

Sensor Selection Framework for Designing Fault Diagnostics System. Sensors (2021)

Amol KulkarniJanis TerpennyVittaldas Prabhu

computer sciencehealth technologysensor selection frameworkinstrumentationsensor designsystems engineeringsensor technology

An Inter University Collaborative Undergraduate Research Learning Experience for Product Platform Planning. (2020)

Steve ShooterSoundar KumaraRobert StoneTimothy SimpsonJanis Terpenny

systems engineeringproduct platform planningundergraduate researchengineering

An Online Learning Tool for Product Platform Planning. (2020)

Anand SrinivasanSteve ShooterSoundar KumaraRobert StoneTimothy SimpsonJanis Terpenny

online learningproduct platform planningmarketing

Bridging Theory and Practice in a Senior Level Robotics Course for Mechanical and Electrical Engineers. (2020)

Ping RenJanis TerpennyDennis HongRichard Goff

electrical engineeringroboticsmechanical engineeringengineering education

1
2
3
4
5
14
10 / page

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smart manufacturing

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design theory

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statistical approximations

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