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Fault detection, isolation, and recovery (FDIR) is a subfield of control engineering which concerns itself with monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Two approaches can be distinguished: A direct pattern recognition of sensor readings that indicate a fault and an analysis ...
Failure modes, effects, and diagnostic analysis (FMEDA) is a systematic analysis technique to obtain subsystem / device level failure rates, failure modes and diagnostic capability. The FMEDA technique considers: All components of a design, The functionality of each component, The failure modes of each component,
Failure Reporting (FR). The failures and the faults related to a system, a piece of equipment, a piece of software or a process are formally reported through a standard form (Defect Report, Failure Report). Analysis (A). Perform analysis in order to identify the root cause of failure. Corrective Actions (CA).
Condition monitoring techniques are normally used on rotating equipment, auxiliary systems and other machinery like belt-driven equipment, (compressors, pumps, electric motors, internal combustion engines, presses), while periodic inspection using non-destructive testing (NDT) techniques and fit for service (FFS) [1] evaluation are used for ...
A fault tree diagram. Fault tree analysis (FTA) is a type of failure analysis in which an undesired state of a system is examined. This analysis method is mainly used in safety engineering and reliability engineering to understand how systems can fail, to identify the best ways to reduce risk and to determine (or get a feeling for) event rates of a safety accident or a particular system level ...
A host of functions required for ECU software calibration, such as interface-dependent calibration methods, calibration data management, measurement data visualization and analysis, ECU programming, vehicle bus monitoring, as well as remote control through standard interfaces, are part of the product's functional complement.
Failure analysis is the process of collecting and analyzing data to determine the cause of a failure, often with the goal of determining corrective actions or liability.. According to Bloch and Geitner, ”machinery failures reveal a reaction chain of cause and effect… usually a deficiency commonly referred to as the symptom…”
The input to a fault diagnostic is a tester datalog showing the failure characteristics of the device. The diagnostic algorithm uses an internal simulation of a fault model of the electrical circuit in order to compare the failure characteristics of the actual device with a set of simulated failure characteristics.