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Burton Lee - AI and Remote Diagnostics of Factory Equipment - IHK München 175 - 21 Sept 2018 - Final

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Burton Lee - AI and Remote Diagnostics of Factory Equipment - IHK München 175 - 21 Sept 2018 - Final

Slides presented by Dr. Burton Lee in Munich, 21 September 2018, at the AI Applications conference of the IHK Munich and Oberbayern Chamber of Commerce. Target audience: Bavarian Mittelstand companies in the manufacturing and logistics sectors.

Slides presented by Dr. Burton Lee in Munich, 21 September 2018, at the AI Applications conference of the IHK Munich and Oberbayern Chamber of Commerce. Target audience: Bavarian Mittelstand companies in the manufacturing and logistics sectors.

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Burton Lee - AI and Remote Diagnostics of Factory Equipment - IHK München 175 - 21 Sept 2018 - Final

  1. 1. Beyond Autonomous Driving: Remote Equipment Diagnostics and Other Successful Applications of AI Technologies in Global Industry Dr. Burton H. Lee PhD MBA European Entrepreneurship & Innovation | Mechanical Engineering | Stanford University Burton.Lee@innovarium.net | www.StanfordEuropreneurs.org 175. Jubiläum – IHK für München und Oberbayern 21. September 2018 | München, Bayern DE
  2. 2. Copyright Burton H. Lee 2018 All Rights Reserved. May Not Be Used by IHK München or Other IHK Bezirke For Use in Courses or Other Company Executive Education & Training Activities without Prior Written Authorization from Author. 221. Sept 2018 Copyright 2018 Burton H. Lee
  3. 3. Grüße aus Silicon Valley (and the Republic of California) 3
  4. 4. Key Topics • Definitions of Artificial Intelligence – Germany vs US and World • Remote Equipment Diagnostics (Fern Diagnose) – Equipment Diagnostic Modelling as Important Branch of AI – Industries, Markets, Business Rationale, Customer Demand and Business Models for Remote Diagnostics Services in Manufacturing Sector – Overview of Example Technical Architectures – General Electric, Siemens, Rolls Royce, other manufacturing companies – Critical Importance of Remote Access for Machine Data • Beyond Machine Learning (ML) and Deep Learning (DL) – Other AI Approaches: Use of Bayesian Causal Probabilistic Networks to Model and Predict Manufacturing Equipment Failure – Example: Semiconductor Manufacturing Equipment 21. Sept 2018 Copyright 2018 Burton H. Lee 4
  5. 5. About Your Speaker Today
  6. 6. 12 Sept 2018 Copyright Burton H. Lee 2018 6 Stanford University | Silicon Valley
  7. 7. European Entrepreneurship & Innovation (ME421) Stanford Engineering School Year Nine || 2018 7 @Europreneurs 12 Sept 2018 Copyright Burton H. Lee 2018
  8. 8. Jan 2018 Speakers Estonia : Urban Delivery Robot Startups & eGovt Innovation Copyright Burton H. Lee 2018 8
  9. 9. Feb 26 2018 Speakers @ Stanford New EU Data Privacy Rules (GDPR) : Lessons for Silicon Valley Companies & Startups 12 Sept 2018 Copyright Burton H. Lee 2018 9
  10. 10. 12 Sept 2018 Copyright Burton H. Lee 2018 10 Visiting Siemens Rail Carriage Factory Graz, Austria | June 2016
  11. 11. DoktorArbeit @ Stanford :: Remote Diagnostics of Complex Mechatronic Equipment Engineering Design Artificial Intelligence Internet 21 Sept 2018 Copyright 2018 Burton H. Lee 11
  12. 12. DoktorArbeit @ Stanford :: Remote Diagnostics of Complex Mechatronic Equipment FMEA1 Bayesian Network Diagnostics Internet 21 Sept 2018 Copyright 2018 Burton H. Lee 12 1) Failure Modes and Effects Analysis
  13. 13. Industrial Experience | Academic Training • Hewlett Packard, Solutions Services Division, Silicon Valley • Daimler ForschungsLabor, Esslingen DE • General Electric Global Research, Niskayuna NY • Ph.D., Mechanical & Electrical Engineering, Center for Design Research, Stanford University (with focus on Artificial Intelligence, Diagnostics, Engineering Design) 21 Sept 2018 Copyright 2018 Burton H. Lee 13
  14. 14. 12 Sept 2018 Copyright Burton H. Lee 2018 14 Creating an AI Strategy & Roadmap for Oberösterreich – Workshop Leaders Dr. Burton Lee, Deputy Governor OÖ Michael Strugl, Prof. Sepp Hochreiter, JKU Rektor Prof. Meinhard Lukas Linz, Austria | July 2017
  15. 15. What is Artificial Intelligence? Differing Definitions and Problem Spaces in USA and Germany
  16. 16. A few examples of what various industry & academic communities around the world consider to be part of the ‘Artificial Intelligence’ domain today, and historically … 21. Sept 2018 Copyright 2018 Burton H. Lee 16
  17. 17. 21. Sept 2018 Copyright 2018 Burton H. Lee 17
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  20. 20. In the USA, UK, Canada, Israel and China, AI is viewed as a much larger field than Machine Learning (ML) & Deep Learning (DL), which dominate discussions today in much of Germany & Continental Europe 21. Sept 2018 Copyright 2018 Burton H. Lee 20
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  25. 25. 21. Sept 2018 Copyright 2018 Burton H. Lee 26 Case-Based Reasoning | Ontologies & Knowledge Engineering | Bayesian (Probabilistic) Networks | Distributed AI Artificial General Intelligence (AGI)
  26. 26. 21. Sept 2018 Copyright 2018 Burton H. Lee 27
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  29. 29. 21. Sept 2018 Copyright 2018 Burton H. Lee 30 Artificial General Intelligence (AGI) Main Generations of Artificial Intelligence (simplified)
  30. 30. 21. Sept 2018 Copyright 2018 Burton H. Lee 31
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  32. 32. CASE STUDIES in Applied Artificial Intelligence in Industry Today
  33. 33. 21. Sept 2018 Copyright 2018 Burton H. Lee 34
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  38. 38. Remote Diagnostics Services Overview of Global Industry
  39. 39. 21. Sept 2018 Copyright 2018 Burton H. Lee 40
  40. 40. 21. Sept 2018 Copyright 2018 Burton H. Lee 41
  41. 41. 21. Sept 2018 Copyright 2018 Burton H. Lee 42 Remote Diagnostics Market Revenues: USA : $4.3 Bn (2017)
  42. 42. 21. Sept 2018 Copyright 2018 Burton H. Lee 43
  43. 43. 21. Sept 2018 Copyright 2018 Burton H. Lee 44 When Is Investment in Remote Diagnostic Technology Justified??
  44. 44. Other Key Players in Remote Diagnostics • Xerox : office equipment • Caterpillar : large-scale construction equipment operating in remote sites (dams, etc) • Rolls Royce : turbines and engines • IBM : computers 21. Sept 2018 Copyright 2018 Burton H. Lee 45
  45. 45. CASE STUDIES Siemens Rolls Royce General Electric Caterpillar
  46. 46. 21. Sept 2018 Copyright 2018 Burton H. Lee 47
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  48. 48. 21. Sept 2018 Copyright 2018 Burton H. Lee 49 2014 Data
  49. 49. 21. Sept 2018 Copyright 2018 Burton H. Lee 50
  50. 50. 21. Sept 2018 Copyright 2018 Burton H. Lee 51 Remote Diagnostics Services Are Key Elements of New Business Models Driving Industrial Enterprises Today
  51. 51. 21. Sept 2018 Copyright 2018 Burton H. Lee 52
  52. 52. 21. Sept 2018 Copyright 2018 Burton H. Lee 53 Remote Diagnostics Tasks and Services
  53. 53. 21. Sept 2018 Copyright 2018 Burton H. Lee 54
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  56. 56. 21. Sept 2018 Copyright 2018 Burton H. Lee 57 Effective Remote Maintenance Made Possible by Big Data
  57. 57. 21. Sept 2018 Copyright 2018 Burton H. Lee 58
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  65. 65. CASE STUDY Remote Diagnostics & Monitoring of Semiconductor Manufacturing Equipment (USA, Taiwan, Japan)
  66. 66. 21. Sept 2018 Copyright 2018 Burton H. Lee 67
  67. 67. 21. Sept 2018 Copyright 2018 Burton H. Lee 68 2006
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  78. 78. CASE STUDY Diagnostic Modeling of Semiconductor Manufacturing Equipment Failure Modes Bayesian Networks (Probabilistic Causal Networks)
  79. 79. 21. Sept 2018 Copyright 2018 Burton H. Lee 80 Reactive Ion Etching (RIE) Equipment
  80. 80. 21. Sept 2018 Copyright 2018 Burton H. Lee 81 Modeling Equipment Failure Modes via Probabilistic Causal Bayesian Networks
  81. 81. 21. Sept 2018 Copyright 2018 Burton H. Lee 82 Fishbone Diagram for Faults in RIE Device
  82. 82. 21. Sept 2018 Copyright 2018 Burton H. Lee 83 Proposed Three-Layer Design of Bayesian Network Failure Model RIE Etch Equipment Failure Diagnosis
  83. 83. 21. Sept 2018 Copyright 2018 Burton H. Lee 84 Full Bayesian Network Model for the Fault Diagnosis in RIE Etch Equipment Root Causes Modules Data Parameters RIE Etch Equipment Failure Diagnosis
  84. 84. 21. Sept 2018 Copyright 2018 Burton H. Lee 85 Implemented (Reduced) Bayesian Causal Network – RIE Etcher Failure Diagnosis
  85. 85. 21. Sept 2018 Copyright 2018 Burton H. Lee 86 Other Examples of Bayesian Network Models of Manufacturing Equipment Failure Diagnosis
  86. 86. VIELEN DANK !! Dr. Burton H. Lee PhD MBA Mechanical Engineering Dept Center for Design Research Stanford University Burton.Lee@innovarium.net Silicon Valley, CA 87
  87. 87. Working in Silicon Valley, Europe, Latin America and Washington DC • Senior financial, technical and strategy advisory services for global technology companies • Professional Services – Technology growth companies and startups • Artificial Intelligence strategy, products/services, business models and technical architectures • Digitalisation culture change, management, business processes, business model creation, new services • Interim CXO and Advisory Board roles • Expert guidance & decision-making at the interface between market/customers, technology and finance • Business plan preparation/research/review; • Executive training, coaching and mentoring of CEOs, board members and other CXO-level managers – Angel, venture capital and private equity Investors • Fund strategy, team selection and market positioning • Due diligence: technical, financial, strategy and business models – Public and non-profit R&D laboratories • Technology transfer & partnerships; venturing and spin-out of companies; strategy and business development; grant applications – Research universities • Innovation-related models, policies and practices • Technology transfer and licensing; industry partnerships and relations; development and strategy; grant applications – National and regional government agencies • Innovation policy formulation, analysis and review; cluster development strategy; economic impact studies • Science & technology policy formulation, analysis & review: space, aviation, nanotechnology, software/AI/robotics, manufacturing • Selected recent clients – German family-owned Mittelstand enterprises – automotive supplier industry – US/European technology startup companies – alternative energy, robotics/AI, software, Internet, nanotech – Venture and private equity funds – aerospace, nanotechnology, ICT, computing, advanced materials, clean tech – Office of the Prime Minister, Ireland; European Commission; National Science Foundation; NASA, National Academies • Dr. Burton Lee PhD MBA, Managing Director – Contact: Burton.Lee@innovarium.net Based in Palo Alto, CA near Stanford University – Bio/References: LinkedIn Profile – Adjunct Professor, European Entrepreneurship & Innovation, Mechanical Engineering, Stanford University 88

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