Abel Cavalcante Lima Filho
YOU?
Author Swipe
View article: Fault Diagnosis in Internal Combustion Engines Using Artificial Intelligence Predictive Models
Fault Diagnosis in Internal Combustion Engines Using Artificial Intelligence Predictive Models Open
The growth of greenhouse gas emissions, driven by the use of internal combustion engines (ICE), highlights the urgent need for sustainable solutions, particularly in the shipping sector. Non-invasive predictive maintenance using acoustic s…
View article: Optimal Feature Complexity for Small-Sample Bearing Fault Detection in Manufacturing
Optimal Feature Complexity for Small-Sample Bearing Fault Detection in Manufacturing Open
Manufacturing environments increasingly demand cost-effective bearing fault detection solutions that balance diagnostic accuracy with implementation practicality. This study investigates optimal feature complexity levels for small-sample b…
View article: Analysis of Split-System Air Conditioner Faults through Electrical Measurement Data
Analysis of Split-System Air Conditioner Faults through Electrical Measurement Data Open
This work presents an electrical measurement dataset from a split-system air conditioner in normal operating conditions and with specific faults, such as incrustation in the condenser and evaporator air inlet with different levels of block…
View article: Sensorless Speed Estimation of Induction Motors through Signal Analysis Based on Chaos Using Density of Maxima
Sensorless Speed Estimation of Induction Motors through Signal Analysis Based on Chaos Using Density of Maxima Open
Three-phase induction motors are widely used in various industrial sectors and are responsible for a significant portion of the total electrical energy consumed. To ensure their efficient operation, it is necessary to apply control systems…
View article: Accuracy and Precision Improvement of Temperature Measurement Using Statistical Analysis/Central Limit Theorem
Accuracy and Precision Improvement of Temperature Measurement Using Statistical Analysis/Central Limit Theorem Open
This paper describes a method for increasing the accuracy and precision of temperature measurements of a liquid based on the central limit theorem. A thermometer immersed in a liquid exhibits a response with determined accuracy and precisi…
View article: Misfire Detection in Automotive Engines Using a Smartphone through Wavelet and Chaos Analysis
Misfire Detection in Automotive Engines Using a Smartphone through Wavelet and Chaos Analysis Open
Besides the failures that cause accidents, there are the ones responsible for preventing the car’s motion capacity. These failures cause inconveniences to the passengers and expose them to the dangers of the road. Although modern vehicles …
View article: Noninvasive Methods for Fault Detection and Isolation in Internal Combustion Engines Based on Chaos Analysis
Noninvasive Methods for Fault Detection and Isolation in Internal Combustion Engines Based on Chaos Analysis Open
The classic monitoring methods for detecting faults in automotive vehicles based on on-board diagnostics (OBD) are insufficient when diagnosing several mechanical failures. Other sensing techniques present drawbacks such as high invasivene…
View article: Non-Invasive Method for In-Service Induction Motor Efficiency Estimation Based on Sound Acquisition
Non-Invasive Method for In-Service Induction Motor Efficiency Estimation Based on Sound Acquisition Open
Induction motors (IMs) are present in practically all production processes and account for two-thirds of the energy consumption in industrial settings. Therefore, monitoring them is essential to prevent accidents, optimize production, and …
View article: Eccentricity Failure Detection of Brushless DC Motors From Sound Signals Based on Density of Maxima
Eccentricity Failure Detection of Brushless DC Motors From Sound Signals Based on Density of Maxima Open
Brushless Direct Current (BLDC) motors have been used in a wide range of fields. In some critical applications, failures in these machines can cause operational disasters and cost lives if they are not detected in advance. The classical me…
View article: Transformada Wavelet para detecção de barras quebradas em Motores de Indução Trifásicos
Transformada Wavelet para detecção de barras quebradas em Motores de Indução Trifásicos Open
Electric machines account for 95% of the primary source of movement of industrialized nations. Out of these, 90% are three-phase induction motors (TIM), which are present in almost all industrial sectors. Due to its relevance in the produc…
View article: A Novel Approach for Brushless DC Motors Characterization in Drones Based on Chaos
A Novel Approach for Brushless DC Motors Characterization in Drones Based on Chaos Open
A novel technique named Signal Analysis based on Chaos using Density of Maxima (SAC-DM) is presented to analyze Brushless Direct Current (BLDC) motors behavior. These motors are vastly used in electric vehicles, especially in Drones. The p…