Multi-objective sensor placement optimization of helicopter rotor blade based on Feature Selection

Pereira, João Luiz Junho; Francisco, Matheus Brendon; Oliveira, Lucas Antônio de; Chaves, João Artur Souza; Cunha, Sebastião Simões da; Gomes, Guilherme Ferreira

doi:10.1016/j.ymssp.2022.109466

Cited by 26 publications

(18 citation statements)

References 75 publications

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“…Dealing with the thin outer surface of an aircraft wing, it is recommended to use an element with eight nodes and six degrees of freedom (Pereira et al. , 2022c), namely, translation and rotation on the x , y , and z axes.…”

Section: Backgroundsmentioning

confidence: 99%

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Nogueira,

Pereira,

Simões Cunha Jr

2024

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PurposeThis study aims to apply for the first time in literature a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm and test the sensors' configuration found in a delamination identification case study.Design/methodology/approachThis work aims to study the damage identification in an aircraft wing using the Lichtenberg and multi-objective Lichtenberg algorithms. The former is used to identify damages, while the last is associated with feature selection techniques to perform the first sensor placement optimization (SPO) methodology with variable sensor number. It is applied aiming for the largest amount of information about using the most used modal metrics in the literature and the smallest sensor number at the same time.FindingsThe proposed method was not only able to find a sensor configuration for each sensor number and modal metric but also found one that had full accuracy in identifying delamination location and severity considering triaxial modal displacements and minimal sensor number for all wing sections.Originality/valueThis study demonstrates for the first time in the literature how the most used modal metrics vary with the sensor number for an aircraft wing using a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm.

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Section: Backgroundsmentioning

confidence: 99%

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Nogueira,

Pereira,

Simões Cunha Jr

2024

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“…In the same way, MOLA generates a binary vector of the same length (𝐵 � ��⃑ ). Through Equation 16 can be found the selected sensors vector (𝑆 𝑠 ��⃑ ) (Pereira et al, [2022b]):…”

Section: Multi-objective Sensor Placement Optimizationmentioning

confidence: 99%

“…Likewise, considering a fixed metric value, any generated solution that has a greater number of sensors for the same metric value is eliminated. The optimization problem is expressed in Equation 17 (Pereira et al, [2022b]). Note that there is no way for sensors to overlap.…”

Section: Multi-objective Sensor Placement Optimizationmentioning

confidence: 99%

“…Having defined the optimization problem of Equation 17 and adopted some simplifications strategies, the binary MOLA can be applied with the parameters of Table 3 for all the objective functions of Table 1, considering the first five mode shapes of the MRB, resulting in 7 multi-objective optimization problems. In Pereira et al [2022b] was considered the first six mode shapes and this methodology was called Multi-objective Sensor Selection and Placement Optimization based on Lichtenberg Algorithm (MOSSPOLA). Just for the reader to have an idea, for each of these problems, MOSSPOLA tested 200 x 200 = 40000 sensor configurations in an average time of 18s.…”

Section: F(𝑆mentioning

confidence: 99%

“…In larger and more complex structures, as in a MRB, the need to develop multi-objective methodologies that select the smallest number of sensors that bring the maximum information about the structure is essential. The first study to do so was recently published and is the result of the Research Group in Computational Mechanics (GEMEC) at UNIFEI (Pereira et al [2022b]). The technique uses the Multiobjective Lichtenberg Algorithm and techniques employed in Feature Selection, an important area in Data Mining.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sensor Placement Optimization of a Helicopter Main Rotor Blade

Pereira¹,

Francisco²,

Jorge³

et al. 2022

Uncertainty Modeling: Fundamental Concepts and Models

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This chapter describes the importance of one of the major areas within Structural HealthMonitoring and Health and Usage Monitoring Systems: Sensor Placement Optimization (SPO). In this sense, the most important SPO metrics are presented and discussed with the reader. The methodological procedure of the optimization problem statement is also considered and discussed. he significance of rotary-wing aircraft, damages that can occur in the blade, works related to damage identification, modern methods and algorithms that have been used in this context, and a comprehensive SPO study for a helicopter main rotor blade will be presented. Finally, a new technique that considers the number of sensors as an objective associated with some of the main metrics used in SPO. The technique uses the Multiobjective Lichtenberg Algorithm and Feature Selection, an important area used in Data Mining.

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Numerical simulation and multiobjective optimization of fluid–structure interaction in aluminum extrusion

Pazeto

Pereira

Gomes

2022

Int J Adv Manuf Technol

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Multi-objective sensor placement optimization of helicopter rotor blade based on Feature Selection

Cited by 26 publications

References 75 publications

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Multi-objective sensor placement optimization and damage identification for an aircraft wing using Lichtenberg algorithm

Sensor Placement Optimization of a Helicopter Main Rotor Blade

Numerical simulation and multiobjective optimization of fluid–structure interaction in aluminum extrusion

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