Optimal sensor placement methodology of hydraulic control system for fault diagnosis

Article Engineering, Mechanical

Advanced optimal sensor placement for Kalman-based multiple-input estimation

R. Cumbo et al.

Summary: The paper presents a Kalman-based methodology for inverse load identification, introducing two alternative metrics to improve sensor selection and enhance the accuracy of estimated quantities.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Engineering, Mechanical

Optimal sensor placement for uncertain inverse problem of structural parameter estimation

Jie Liu et al.

Summary: This paper proposes an optimal sensor placement approach for structural parameter estimation, aiming to alleviate the ill-posedness problem in inverse procedures. The key idea is to select sensor positions with the most sensitive measured responses and the least correlated responses. The optimization strategy converts the traditional minimum variance criterion to a new maximum independent mean-variance criterion, transforming the complex problem into a forward uncertainty propagation problem.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Engineering, Mechanical

A unified sampling-based framework for optimal sensor placement considering parameter and prediction inference

C. Argyris et al.

Summary: A Bayesian framework for optimal sensor placement based on model optimization is presented to minimize uncertainty in predicting a specific quantity of interest. Emphasizing prediction inference over parameter inference, the method aims to reduce uncertainty in key parameters for accurate predictions. By using the determinant to measure uncertainty and evaluating covariance matrices through Monte Carlo sampling, the approach differs from traditional methods and is more suitable for prediction inference.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Metallurgy & Metallurgical Engineering

A data-driven early micro-leakage detection and localization approach of hydraulic systems

Bao-ping Cai et al.

Summary: This study proposes a data-driven early leakage localization approach based on Bayesian networks, using wavelet transform for signal noise reduction to improve accuracy. An example with a hydraulic system with eight valves demonstrates the application of this method.

JOURNAL OF CENTRAL SOUTH UNIVERSITY (2021)

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Article Construction & Building Technology

A data driven method for optimal sensor placement in multi-zone buildings

Gowri Suryanarayana et al.

Summary: The proposed data-driven methodology identifies optimal sensor placement in multi-zone buildings by utilizing statistical tests to improve control and monitoring applications. By simplifying models and using a data-driven approach, the method is applicable to various buildings while effectively reducing costs.

ENERGY AND BUILDINGS (2021)

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Article Engineering, Mechanical

A pole-zero based criterion for optimal placement of collocated sensor-actuator pair

Dimitri Piron et al.

Summary: A new criterion for optimal placement of a sensor-actuator pair for controlling structural vibrations with low authority controller is proposed, focusing on maximizing the pole-zero distance to enhance damping ratio. The criterion shows improved damping values for a cantilever beam but requires further adaptation for structures with high modal density like simply supported plates.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Engineering, Electrical & Electronic

Optimal Relay Placement in Magnetic Induction-Based Internet of Underwater Things

Ruhul Amin Khalil et al.

Summary: The article focuses on the placement of underwater relays using MI induction in deep-ocean monitoring networks, proposing a global optimization technique based on Reverse Convex Programming to improve network throughput.

IEEE SENSORS JOURNAL (2021)

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Article Engineering, Civil