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Explores dependability in industrial automation, covering reliability, safety, fault characteristics, and examples of failure sources in various industries.
Introduces the role of engineers in facing risks and the evolution of disasters in engineering, emphasizing the need for a scientific approach to safety and reliability.
Explores data quality in Life Cycle Assessment, covering inventory format, control, measurement procedures, uncertainty factors, and the Data Quality Rating system.
Explores redundancy as a technique for dependable systems, covering fault tolerance, reliability, and fault models, emphasizing the importance of idempotency and leases.
Explores failure mechanisms in MEMS, covering design, manufacturing, and in-use failures, emphasizing reliability considerations and mitigation strategies for mechanical shock and vibration resistance.
Explores dependable architectures, error detection, fault-tolerant structures, and software reliability through examples like the Patriot Missile failure and ABB dual controller.
Explores real-world evidence in health data sciences, focusing on observational research, data quality, and the challenges of reliability and reproducibility.
