Integration of mechanical, software and electronic systems technologies for vehicle systems了解行业应用
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets了解行业应用
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performanceExplore Industry
Integration of manufacturing process planning with design and engineering for today’s machine complexity了解行业应用
Insurance & Financial
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
Media & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.Explore Industry
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Small & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.Explore Industry
Siemens Digital Industries Software 安全和风险评估
Analyze and understand the criticality of functional risks in a design configuration, and to establish and document the potential impact of failures on operations and the cost of ownership. Define criticality parameters for component functions to support the automated generation of a range of safety and risk assessments that are required for the design and support of safety/mission-critical equipment, including FMECA and Functional Fault Tree Analysis.
Increase productivity and reduce costs by identifying all possible failures in a design or a product in an objective manner. Produce standard FMEA/FMECA artifacts directly from the Digital Risk Twin; providing the benefits of a reusable/scalable model and the ability to generate standard documents as a by-product of the modeling process at any given point in development process.
Ensure that failures are described, displayed and reported in a consistent and traceable manner. Failure Diagrams are a graphical representation of the causes, mechanisms and faults that can lead to loss of function in the system, described based on a dedicated failure taxonomy. Use a graphical interface to represent the physical processes which can lead to an item’s failure (cause, mechanism, fault, symptom) and how these can propagate throughout the system (Automated Dependency Mapping). Failure Diagrams are developed for each item and used to define how a component can fail based on the physics of failure. Each fault has failure conditions, compensating provisions and detection methods which can be displayed in the FMECA report.
Identify the dependencies of engineering risks in a specific system configuration using functional fault tree analysis. FTA is generated automatically from the Digital Risk Twin to identify potential causes of failures, their relative importance and probability of occurrence.
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