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Related Concept Videos

Series R—L Circuit Transients01:22

Series R—L Circuit Transients

144
In a series resistor-inductor (R-L) circuit, closing the switch at the start of the time period simulates a three-phase short circuit, a fault condition where all three phases of an unloaded synchronous machine are short-circuited. When there is no fault impedance and no initial current, the initial voltage is determined by the phase angle of the source voltage.
Using Kirchhoff's Voltage Law (KVL) to analyze this circuit helps determine the total asymmetrical fault current, which consists...
144
Bus Impedance Matrix01:24

Bus Impedance Matrix

161
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
161
Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

367
Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
367
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

142
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
142
Fault Types01:18

Fault Types

119
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...
119
Parallel RLC Circuits01:14

Parallel RLC Circuits

990
Street lamps equipped with RLC surge protectors are an excellent example of applying circuit analysis in practical scenarios. These surge protectors safeguard the lamp's components against sudden voltage spikes.
A simplified parallel RLC circuit model with a DC input source generating a step response is employed in this context. When the switch is turned on, Kirchhoff's current law is applied, leading to a second-order differential equation.
990

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Updated: Aug 30, 2025

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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Converting data into knowledge with RCA methodology improved for inverters fault analysis.

Ricardo Manuel Arias Velásquez1, Jennifer Vanessa Mejía Lara2,3

  • 1Universidad Privada Peruano Alemana, Peru.

Heliyon
|August 29, 2022
PubMed
Summary

This study introduces a new root cause analysis (RCA) method for photovoltaic (PV) solar plants, integrating knowledge management and failure mode analysis. It enhances early detection of equipment degradation and sudden failures in PV inverters.

Keywords:
Failure modeInvertersKnowledge managementSolar plant

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Area of Science:

  • Renewable Energy Engineering
  • Knowledge Management Systems
  • Reliability Engineering

Background:

  • Knowledge management in energy evaluation, particularly for maintenance teams and failure detection, has faced integration challenges.
  • Existing expert systems for pattern recognition in energy equipment inefficiencies show limitations in incorporating maintenance team knowledge.
  • Degradation of energy equipment in solar plants necessitates improved analysis methods for reliability.

Purpose of the Study:

  • To develop an enhanced root cause analysis (RCA) methodology for photovoltaic (PV) inverters.
  • To integrate knowledge management principles with failure mode analysis for improved energy equipment diagnostics.
  • To address limitations in detecting sudden failures and early degradation in PV solar plant components.

Main Methods:

  • Applied knowledge management methodology to energy evaluation and maintenance team training.
  • Utilized Erdös-Rényi graphs from graph theory for quantitative and qualitative analysis.
  • Conducted failure mode analysis on 164 inverters across 21 failure modes using extensive signal data.

Main Results:

  • The study analyzed 120,561 signals and 3,014,025 patterns from 2018 to 2021.
  • A novel RCA approach was developed, combining knowledge management with failure mode analysis.
  • The method demonstrated effectiveness in complementing solutions for sudden failures and early degradation.

Conclusions:

  • The proposed RCA method, enhanced by knowledge management, offers a significant improvement for PV solar plant maintenance.
  • Integrating graph theory and knowledge management provides a robust framework for analyzing inverter failures.
  • This approach aids in early detection and mitigation of energy equipment issues, boosting plant reliability.