Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Rotating blades are affected by various factors such as rotor–stator interaction, rotor vibration, unstable fluid excitation, and foreign object damage during operation, these factors can induce synchronous and asynchronous vibrations. Typically, the vibration states require offline analysis and diagnosis by experienced engineers. To achieve online automatic identification of synchronous and asynchronous

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Hydrogen-rich fuels, such as liquid ammonia (LNH3), are being considered for new commercial aircraft propulsion systems to reduce aviation’s CO2 climate impact. It is crucial to ensure that integrating these fuels does not increase non-CO2 climate impacts, defeating the purpose of decarbonizing aviation. Specifically, there are concerns about increased atmospheric radiative forcing (RF) via more frequent

Monitoring the operational condition of wind turbine blades is a critical aspect of structural health monitoring, especially considering the challenges associated with traditional sensing techniques on rotating blades. This paper proposes an innovative method for monitoring large-scale wind turbine blades using an improved YOLOv5 (You Only Look Once) deep learning model that eliminates the use of manual

Floating splines are widely used in various shaft systems with high installation difficulty. The spline couplings’ stiffness characteristics significantly affect the shaft system dynamics. Most previous works have focused on ordinary spline-coupling shaft system dynamic modeling and ignored the effect of internal spline fillet-foundation deflection on the spline coupling stiffness. Thus, an improved

The Fatigue Damage Spectrum (FDS) method has been a cornerstone in the characterization and evaluation of vibrational loads. However, the formulation of the FDS requires to simplify the Device Under Test (DUT) as a Single-Input-Single-Output system, while real components are, in general, Multi-Input Multi-Output (MIMO) systems. This strict assumption neglects the possibility of multi-axis testing.

The vibration isolation applications of the traditional periodic honeycomb structures (PHSs) are limited by the poor stiffness of the support frame, while the embedded resonators inevitably compromise the lightweight property. In this paper, a novel dual deformation mode honeycomb (DDMH) is proposed through the design of deformation compatibility and internal contact behavior. The static support performance

Vibration control plays an important role in the development of high-precision instruments and machinery such as high-resolution optical remote sensing telescope and wafer stepper lithography machine. In this paper, we developed an active–passive hybrid vibration isolation system based on the superconducting magnetic levitation technology to suppress or eliminate the adverse effect caused by the low-to-medium

Excessive chatter significantly degrades both the quality of the finished workpiece surface and the efficiency of machining operations. To address this productivity bottleneck, online chatter detection has emerged as a key area of research in recent years. However, existing approaches often rely on manually extracted features, which can limit their effectiveness. Deep learning, with its automatic feature

Metal pipelines are widely used in oil, natural gas and other industries. Due to their long-term relatively harsh service conditions, various complex defects will inevitably occur both on the inner and outer wall. Conventional single non-destructive testing technology cannot detect both inner and outer wall defects simultaneously. A hybrid non-destructive testing technology combining pulsed eddy current

Complex electrical equipment in harsh environments can pose a major threat to the health of key components such as bearings. Weak features are often hidden in many interferences, which makes it very difficult to extract fault features of mechanical parts. This paper proposes a frequency slice graph spectrum model (FSGS Model), which aims to search for characteristic information that matches bearing

It is a crucial mission for the engineers to ensure the dynamic stability and safety of the composite wing with high-aspect-ratio, which is the effective component to guarantee aerodynamic efficiency of aircraft. This contribution addresses on a systematic theoretical and experimental investigation on the vibration control of the high-aspect-ratio composite wing of electric aircraft which is simplified

As humanity ventures into space, understanding the effects of microgravity on fundamental cellular, molecular, and physiological processes is essential. Research in this area not only addresses the challenges faced during space exploration but also has the potential to lead to novel discoveries. Microgravity research in the field of biological sciences has gained significant importance as astronauts

Remote observation is an important way for studying the re-entry environment that a spacecraft experiences. On 5 December 2020 UTC, researchers from the University of Queensland (UQ) took part in the flight observation of the Hayabusa2 Sample Return Capsule’s re-entry, conducting independent measurements alongside other research teams. The UQ system, which included a tracking camera and two grating

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Entropy serves as a metric to quantify the complexity of time series by utilizing patterns within phase space, like dispersion entropy quantifies the information of pattern distribution in one-dimensional phase space, and fuzzy entropy measures the information generation rate of pattern similarity in two-dimensional phase space. However, both overlook pattern ordering that represents the internal order

Vibration is a major obstacle to the application of robot in the field of milling processing, and the low-frequency vibration of the robotic structure is likely to occur and have a severe impact. However, the complexity of the robotic structural modes and the posture dependence of the dynamic characteristics bring serious trouble to the vibration suppression of the robotic structure, and the milling

This article proposes a novel active suspension model of a three-axle heavy vehicle considering road slope and designs an energy-saving backstepping tracking control method based on an ideal reference model and disturbance observer. The motion states of the ideal reference model with sky-hook damping force control are designed as the tracking trajectory of active suspension control. Then the nonlinear

Steam generator inner tubes are subjected to clearance impacts during their service life, ultimately leading to wear. The present work aims to better understand the influence of the clearance symmetry on the dynamical response of these tubes as well as to establish the minimum ingredients needed by a model to faithfully represent their dynamical behavior. A proof-of-concept has been designed for this

Time-dependent reliability analysis has received increasing attention for assessing the performance and safety of engineered components and systems subject to both random and time-varying dynamic factors. However, many existing methods may prove insufficient when applied to real-world problems, particularly in terms of applicability, efficiency and accuracy. This paper presents a novel time-dependent