DiagnoseDesign – One Methodology, Four Phases

The DiagnoseDesign is divided into four tool-supported phases. Step by step, the system is further broken down, not only to reduce complexity but also to simplify the analysis.

Was Ist Systems Engineering

Phase 1 – System Analysis

First, a type of diagnostic schematic is created. Standardization begins at this stage. All components of a system are divided into standard elements, such as actuators, sensors, control units, and wiring. The focus is also strongly on the interchangeability of individual elements. It is crucial to carefully examine what will be replaced in the event of a defect.

Phase 2 – Impact Analysis

The second phase of DiagnoseDesign focuses on the fault analysis of individual impact points. Causes of faults are assigned from a predefined catalog. Whenever possible, the probability of occurrence is also considered. This approach not only uncovers potential faults but also directly evaluates them.

Phase 3 – Algorithm Designer

Now that it is clear what components make up a complex system and what faults can occur with what probability, it is time to define their detection. Depending on the type of algorithm, clues play an enormous role. It is important to determine which diagnostic possibilities are available to link the clues with the causes of the faults. At this stage, the first fault clusters can already be broken up! Algorithms are created!

Phase 4 – Quality and Conversion

The algorithms now created are in XML format, a data format that can be easily converted! Additionally, the goal of the fourth phase is to evaluate the quality. This is usually done through differential comparisons with source data or initial requirements. The result is expandable XML data that can be used for various use cases.

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In recent years, we have helped our customers in many different systems - mostly consisting of various control units - to identify requirements and implement better diagnostics.

Maik

Maik Ekert

CEO

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