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Most complex systems are moving toward a “smart” solution, with automated methods for identifying and diagnosing problems. This course will explore how efficient system scan be designed in an effective manner to ensure that they meet performance requirements. Because predictive maintenance is important to the aerospace industry, this course will address systems engineering (SE), review prognostic health management (PHM), and explain how you can utilize them to obtain a better system. Additionally, it will address requirements management; model-based design; and verification and validation.

The concept of a Quality System’s approach to business has been employed successfully and sometimes not so successfully for several decades. The International Organization for Standardization (ISO) has been supplying standards that list the key elements/clauses and requirements for building and implementing Quality Systems for over 30 years. These standards are based on the relatively simple concepts of Total Quality Management (TQM), essential principals of management, and a “Process” approach. These standards have been revised several times over the years to make them more realistic and user friendly.

Use of Model-Based Systems Engineering (MBSE) has been growing across industry, extending beyond defense and aerospace to include various commercial enterprises such as automotive and healthcare. Tool vendors are quick to point out benefits of this model-based approach and practices but are not always clear how MBSE benefits can be realized on a project. When deployed successfully, several key considerations should be addressed that maximize the value for a use-case. This four-hour class will discuss the nature and purpose of the MBSE approach and how key information is used for successful MBSE deployment as it relates to Systems Management.

This course is offered in China only and presented in Mandarin Chinese. Driving simulator is a key component of automotive interactive design, which can provide objective data to support both the effectiveness of design and user experience. On the other hand, driving simulator and the design of its experiments are major challenges, as improper experiment design will lead to consequences such as failure in identifying designing errors of the interactive design itself.

This course describes the basic elements of the process for achieving a successful aircraft certification globally once certification by the State of Design has been accomplished. The regulatory framework established under ICAO is presented with discussion of how major countries around the world comply with the ICAO Standards and Recommended Practices (SARPs). The uncertainty of how each country performs validation is a challenge. This course identifies common validation practices and key bilateral agreements which facilitate acceptance of aviation products from one country to another.

This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). Currently in the industry, especially within China, product requirement development is more of an experience-based process rather than a scientific methodology. This course addresses this issue and provides a more process-driven method for better requirement development through the Quality Function Deployment (QFD) methodology.  Real industrial examples are used to demonstrate how to systematically convert the voice of the customer data to engineering specifications using QFD.

Potential regulations surrounding the development, testing and commercial launch of Highly Automated Vehicles and possible liability exposure for the manufacturing and operation of Highly Automated Vehicles are fluid and changing areas, that will continue to evolve over the next several years. The first half of this course reviews where regulations are at the state and federal levels, what actions are currently under consideration, how current regulations will need to change to accommodate HAV’s, and how and when new regulations might be implemented. The second half covers both common law and strict liability and how it may apply to HAV’s.

The automated vehicle industry has been busy designing, developing, and deploying several self driving vehicles and services in the last few years. However, much of the outcomes and the overall outlook of the vehicle and services, such as robotaxis, are not great. Customers and stakeholders complain that the level of automation is low, mostly SAE Levels 1, 2, and very little of Level 3. It appears that Level 4 is far out in the horizon and many wonder if Level 5 is actually achievable.

Model-based software development has become state of the art for automotive embedded applications. Toolchains have been established, and methods and procedures have been defined to address the strong requirements of functional safety standards. Best practices within general software development, however, propose to overcome strict waterfall process models and promote agile methods in order to address real-world challenges, such as late changes or vague requirements. These real-world scenarios exist in automotive software development, and agile methods will also be beneficial here.

This training class provides a comprehensive overview of the principles, processes, and objectives of model testing – from requirements to model tests. We offer step-by-step guidance from creating requirements-based test specifications, through testing TargetLink and/or Embedded Coder models, to automated test evaluation based on test assessments and back-to-back/regression tests. In particular, we will emphasize ISO 26262-compliant test management and explain the test process for MiL and SiL, as well as tracing requirements to test specifications and test assessments.

This training class will introduce you to fundamental aspects of working with modeling guidelines and to the static model analysis of MATLAB Simulink/Stateflow, TargetLink, and Embedded Coder models. Furthermore, you will learn how to create MISRA- and ISO 26262-compliant models using proven modeling standards and best practices. The spotlight will be placed on how you can best integrate the MES Model Examiner (MXAM) into your process. Via several hands-on sessions, you will have the chance to practice reliably deploying guidelines with MXAM and ensure guideline compliance.

This training class provides a practical overview of developing and safeguarding embedded software on the basis of Simulink and code generators like Embedded Coder and TargetLink within the framework of serial projects. The training class takes participants through all process steps from designing and creating the simulation model in Simulink and Stateflow to generating production code. Model quality assurance consists of verifying the model and software architecture, safeguarding the modeling guidelines, as well as checking for functional compliance with requirements in the model test.

As part of the release of ISO 26262 in 2011, requirements to establish confidence in the correct functioning of software tools used to develop safety-related automotive E/E systems came into effect. A decade later, there are plenty of experiences and lessons learned from applying these requirements in day-to-day engineering. However, implementing ISO 26262 tool classification and qualification remains a challenge for many automotive organizations and remains resource intensive.

Ensuring the safety of a driving automation system encompasses two aspects, namely (1) the avoidance of unreasonable risk caused by malfunctioning behavior of the system as well as (2) the avoidance of unreasonable risk caused by hazards associated with the intended functionality and its implementation, e.g. due to performance limitations. The first aspect - known as functional safety - has been addressed by the industry for quite some time already and is described by the established ISO 26262 standard.

A key design objective in the development of modern motor vehicles is ensuring functional safety. The safety standard ISO 26262 "Road vehicles - Functional safety" describes a lifecycle model for the development of safety-relevant electrical or electronic (E/E) systems in automobiles. This training class will provide you with the necessary knowledge for the practical application of ISO 26262 and shed light on how to implement the standard in your daily work projects. The duration and thematic focus will be tailored to your specific needs.

ISO 26262 provides an internationally recognized reference for the development of safety-related automotive E/E systems. Developers of such systems need to understand and implement the standard’s requirements pertaining to system, hardware, and software development. This training class provides a systematic introduction to key concepts of ISO 26262 and their practical application, covering the concept phase including hazard analysis and risk assessment (HARA) as well as the subsequent system, hardware, and software development phases.

Inductive and deductive safety analyses play an essential role within the ISO 26262 safety life cycle. Qualitative analysis methods are used to identify failures whereas quantitative methods are utilized to predict the frequency of failures. This one-day training class introduces the fundamentals of common safety analysis methods such as FMEA, FMEDA, and FTA and discusses the role of these methods in the development of safety-related E/E systems as per ISO 26262.

This course is offered in China only. The course starts from the core concept of MBSE and primarily introduces the commercial setting of MBSE in industry practices. It covers a range of topics from conceptual clarity and mindset shifts to modeling strategies, aiming to build comprehensive end-to-end MBSE capabilities. I will present the specific industry practice of MBSE in fields such as aerospace and automotive, share insights on processes, methodologies, and toolchain strategies, among others. MBSE transforms the fragmented representation into traceable digital models by using a single data source model.

SAE International will host a series of webinars that will cover the recently published and completely new Euro NCAP Rating Scheme for 2026 and beyond. This rating scheme supports the Euro NCAP Vision 2030 Roadmap. e-Learning coming soon!

According to NHTSA, there were 932 vehicle recalls in the United States in 2022, affecting approximately 31 million vehicles; 39 electric vehicle recalls affecting more than 1.3 million vehicles, and 56 ADAS recalls affecting more than 4.7 million vehicles. Furthermore, Warranty Week reports that Worldwide Auto Manufacturers allocated a total of $54.7 billion for future warranty repairs or $670 per vehicle sold in 2022. 2023 Consumer Report indicates that Electrical Vehicles have 79% more reliability issues than ICE vehicles.