Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor. / Haus, Benedikt; Yap, Jin Siang; Schaefer, Lennart et al.
Soft Computing: Theories and Applications - Proceedings of SoCTA 2021. ed. / Rajesh Kumar; Chang Wook Ahn; Tarun K. Sharma; Om Prakash Verma; Anand Agarwal. Cham: Springer Science and Business Media Deutschland GmbH, 2022. p. 527-537 (Lecture Notes in Networks and Systems; Vol. 425).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Haus, B, Yap, JS, Schaefer, L & Mercorelli, P 2022, Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor. in R Kumar, CW Ahn, TK Sharma, OP Verma & A Agarwal (eds), Soft Computing: Theories and Applications - Proceedings of SoCTA 2021. Lecture Notes in Networks and Systems, vol. 425, Springer Science and Business Media Deutschland GmbH, Cham, pp. 527-537, 6th International Conference on Soft Computing: Theories and Applications, SoCTA 2021, Kota, India, 17.12.21. https://doi.org/10.1007/978-981-19-0707-4_48

APA

Haus, B., Yap, J. S., Schaefer, L., & Mercorelli, P. (2022). Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor. In R. Kumar, C. W. Ahn, T. K. Sharma, O. P. Verma, & A. Agarwal (Eds.), Soft Computing: Theories and Applications - Proceedings of SoCTA 2021 (pp. 527-537). (Lecture Notes in Networks and Systems; Vol. 425). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-0707-4_48

Vancouver

Haus B, Yap JS, Schaefer L, Mercorelli P. Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor. In Kumar R, Ahn CW, Sharma TK, Verma OP, Agarwal A, editors, Soft Computing: Theories and Applications - Proceedings of SoCTA 2021. Cham: Springer Science and Business Media Deutschland GmbH. 2022. p. 527-537. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-19-0707-4_48

Bibtex

@inbook{71587219c4a14ee59a5855adfb2d5ca3,
title = "Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor",
abstract = "This contribution deals with the identification of gloss as a function of roughness using particle swarm optimization (PSO) methods. The proposed PSO methods use a least squares method (LSM) as a cost function to be optimized. The nonparametric identification structure uses a Gaussian regressor characterized by three parameters to be estimated. Three different algorithms are proposed: a global classical PSO, an intertwined PSO structure and a PSO structure combined with a linear regression method obtained using a logarithmical transformation. Results using measured data are shown at the end of this analysis to compare the three different techniques.",
keywords = "Manufacturing applications, Nonparametric identification, Particle swarm optimization, Engineering",
author = "Benedikt Haus and Yap, {Jin Siang} and Lennart Schaefer and Paolo Mercorelli",
year = "2022",
doi = "10.1007/978-981-19-0707-4_48",
language = "English",
isbn = "978-981-19-0706-7",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "527--537",
editor = "Rajesh Kumar and Ahn, {Chang Wook} and Sharma, {Tarun K.} and Verma, {Om Prakash} and Anand Agarwal",
booktitle = "Soft Computing",
address = "Germany",
note = "6th International Conference on Soft Computing: Theories and Applications, SoCTA 2021, SoCTA 2021 ; Conference date: 17-12-2021 Through 19-12-2021",

}

RIS

TY - CHAP

T1 - Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor

AU - Haus, Benedikt

AU - Yap, Jin Siang

AU - Schaefer, Lennart

AU - Mercorelli, Paolo

N1 - Conference code: 6

PY - 2022

Y1 - 2022

N2 - This contribution deals with the identification of gloss as a function of roughness using particle swarm optimization (PSO) methods. The proposed PSO methods use a least squares method (LSM) as a cost function to be optimized. The nonparametric identification structure uses a Gaussian regressor characterized by three parameters to be estimated. Three different algorithms are proposed: a global classical PSO, an intertwined PSO structure and a PSO structure combined with a linear regression method obtained using a logarithmical transformation. Results using measured data are shown at the end of this analysis to compare the three different techniques.

AB - This contribution deals with the identification of gloss as a function of roughness using particle swarm optimization (PSO) methods. The proposed PSO methods use a least squares method (LSM) as a cost function to be optimized. The nonparametric identification structure uses a Gaussian regressor characterized by three parameters to be estimated. Three different algorithms are proposed: a global classical PSO, an intertwined PSO structure and a PSO structure combined with a linear regression method obtained using a logarithmical transformation. Results using measured data are shown at the end of this analysis to compare the three different techniques.

KW - Manufacturing applications

KW - Nonparametric identification

KW - Particle swarm optimization

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85132044524&partnerID=8YFLogxK

U2 - 10.1007/978-981-19-0707-4_48

DO - 10.1007/978-981-19-0707-4_48

M3 - Article in conference proceedings

AN - SCOPUS:85132044524

SN - 978-981-19-0706-7

T3 - Lecture Notes in Networks and Systems

SP - 527

EP - 537

BT - Soft Computing

A2 - Kumar, Rajesh

A2 - Ahn, Chang Wook

A2 - Sharma, Tarun K.

A2 - Verma, Om Prakash

A2 - Agarwal, Anand

PB - Springer Science and Business Media Deutschland GmbH

CY - Cham

T2 - 6th International Conference on Soft Computing: Theories and Applications, SoCTA 2021

Y2 - 17 December 2021 through 19 December 2021

ER -

Recently viewed

Publications

  1. Machine Learning and Knowledge Discovery in Databases
  2. Dimension estimates for certain sets of infinite complex continued fractions
  3. Validation of an open source, remote web-based eye-tracking method (WebGazer) for research in early childhood
  4. Energy Optimization in Motion Planning of a Two-Link Manipulator using Bernstein Polynomials
  5. Adjustable automation and manoeuvre control in automated driving
  6. An observer for sensorless variable valve control in camless internal combustion engines
  7. Multilevel bridge governor by using model predictive control in wavelet packets for tracking trajectories
  8. A PD regulator to minimize noise effect using a minimal variance method for soft landing control of an electromagnetic valve actuator
  9. A simple control strategy for increasing the soft bending actuator performance by using a pressure boost
  10. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations
  11. Comparison of Trajectory Estimation Methods Based on LIDAR and Monocular Camera in a Simulated Environment
  12. Automatic feature selection for anomaly detection
  13. The Forgotten Function of Forgetting
  14. Kit based motion generator for a soft walking robot
  15. Structural Synthesis of Parallel Robots with Unguided Linear Actuators
  16. Parameterized Synthetic Image Data Set for Fisheye Lens
  17. Document assignment in multi-site search engines
  18. Detection time analysis of propulsion system fault effects in a hexacopter
  19. On the utility of indirect methods for detecting faking
  20. On the origin of passive rotation in rotational joints, and how to calculate it
  21. Homogenization methods for multi-phase elastic composites with non-elliptical reinforcements
  22. Mining Implications From Data
  23. Early Detection of Faillure in Conveyor Chain Systems by Wireless Sensor Node
  24. Trait-based approaches to analyze links between the drivers of change and ecosystem services
  25. Design, Modeling and Control of an Over-actuated Hexacopter Tilt-Rotor
  26. Robust Control of Excavation Mobile Robot with Dynamic Triangulation Vision
  27. Optimal dynamic scale and structure of a multi-pollution economy
  28. An error management perspective on audit quality
  29. A high-resolution approach for the spatiotemporal analysis of forest canopy space using terrestrial laser scanning data
  30. Obstacle Coordinates Transformation from TVS Body-Frame to AGV Navigation-Frame
  31. Impulsive Feedback Linearization for Decoupling of a Constant Disturbance with Low Relative Degree to Control Maglev Systems
  32. A Sliding Mode Control with a Bang-Bang Observer for Detection of Particle Pollution
  33. Global Finite-Time Stabilization of Planar Linear Systems With Actuator Saturation
  34. A Lyapunov based PI controller with an anti-windup scheme for a purification process of potable water
  35. The Impact of AGVs and Priority Rules in a Real Production Setup – A Simulation Study
  36. Performance of process-based models for simulation of grain N in crop rotations across Europe
  37. A Control of an Electromagnetic Actuator Using Model Predictive Control
  38. Passive Rotation Compensation in Parallel Kinematics Using Quaternions
  39. Educational reconstruction as model for the theory-based design of student-centered learning environments in electrical engineering courses
  40. An isomorphism between polynomial eigenfunctions of the transfer operator and the Eichler cohomology for modular groups
  41. A geometric approach for the design and control of an electromagnetic actuator to optimize its dynamic performance
  42. Machine vision system errors for unmanned aerial vehicle navigation
  43. Modernizing persistence–bioaccumulation–toxicity (PBT) assessment with high throughput animal-free methods
  44. Factor structure and measurement invariance of the Students’ Self-report Checklist of Social and Learning Behaviour (SSL)
  45. A Structure and Content Prompt-based Method for Knowledge Graph Question Answering over Scholarly Data
  46. Simple relay non-linear PD control for faster and high-precision motion systems with friction
  47. Controlling a Bank Model Economy by Using an Adaptive Model Predictive Control with Help of an Extended Kalman Filter
  48. Reading Comprehension as Embodied Action: Exploratory Findings on Nonlinear Eye Movement Dynamics and Comprehension of Scientific Texts
  49. WHICH ESTIMATION SITUATIONS ARE RELEVANT FOR A VALID ASSESSMENT OF MEASUREMENT ESTIMATION SKILLS