Fault Analysis
Fault Analysis - Related Videos
01:18
Fault Types
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2024
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain. For line-to-line faults occurring between phases B and C, the...
07:39
The Role of Fabric in Frictional Properties of Phyllosilicate-Rich Tectonic Faults
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Cited by 3 •
2021
Friction of phyllosilicates-rich faults sheared in their in situ geometry is significantly lower than friction of their powdered equivalents.
06:45
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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2022
In this paper, an adaptive filter based on a normalized least mean square (NLMS) algorithm and a rotational speed estimation method are introduced to detect the electrical and hydraulic faults of the electro-hydrostatic actuator (EHA). The efficacy and feasibility of the aforementioned methods are verified through simulations and experiments.
15:04
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
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Cited by 46 •
2009
This article describes a novel protocol and reagent set designed for sensitive measurement of neurotoxic effects of compounds and treatments on co-cultures of neurons and astrocytes using high content analysis. Results demonstrate that high content analysis represents an exciting novel technology for neurotoxicity assessment.
10:39
Automated Analysis of Intracellular Phenotypes of Salmonella Using ImageJ
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Cited by 3 •
2022
Salmonella invades and replicates inside intestinal epithelial cells both in Salmonella-specific vacuoles and free in the cytosol (hyper-replication). A high-throughput fluorescence microscopy-based protocol is described here to quantify the intracellular phenotypes of Salmonella by two complementary image analyses through ImageJ, reaching single-cell resolution and scoring.
FAQs
Fault analysis compares observed symptoms with sensor measurements, operating records, and environmental conditions to trace a failure backward. The initiating event represents the event that starts the abnormal condition, while contributing factors help explain why it developed or persisted. Separating these roles clarifies causation and supports corrective actions aimed at both the immediate trigger and underlying influences.
Environmental conditions provide context for interpreting abnormal measurements and operating behavior. Changes in those conditions may help explain why a monitoring network, treatment process, or pollution-control system performs differently at a particular time. Including this context reduces the risk of attributing every symptom to an internal component and improves evaluation of reliability under changing conditions.
These methods examine failure from complementary perspectives. Failure mode and effects analysis considers possible failure modes and their effects, fault trees trace combinations of events toward an undesired outcome, and root-cause analysis works backward from symptoms to underlying causes. Selecting among them, or using them together, helps match the investigation method to the available evidence and analytical goal.
It can connect a visible symptom with effects on performance, safety, and reliability, rather than treating the symptom as an isolated event. By combining measurements, records, and environmental context, investigators can identify initiating events and contributing factors. This broader view supports targeted corrective action, earlier detection of related problems, and risk reduction across system operation.
A practical workflow begins by collecting sensor measurements, operating records, and relevant environmental conditions. Investigators then characterize the abnormal condition, select an appropriate method such as a fault tree or root-cause analysis, and trace symptoms to initiating events and contributing factors. The final evaluation links the findings to corrective action, risk reduction, and more resilient operation.
Useful evidence includes sensor measurements showing system behavior, operating records documenting how the system was run, and environmental conditions surrounding the event. These sources should be interpreted together because each describes a different part of the failure context. Their combination helps distinguish abnormal performance from its causes and supports a more focused evaluation of system effects.
Environmental applications include failures in monitoring networks, water-treatment processes, and pollution-control systems. In these settings, analysis can support earlier detection of abnormal conditions, identify factors that limit performance, and guide targeted corrective action. The same approach also contributes to risk reduction and more resilient operation when infrastructure must function under changing environmental conditions.