ICRCA

Abstract: Power electronic transformer (PET) is an important energy conversion equipment. To realize ac-ac conversion and high reliability and controllability, a novel three-level topology consisting of power electronic transformer based on three-phase ...

In this paper, a sliding mode based fault tolerant control algorithm that deals with the tracking problem, is designed, implemented and tested on a Quad-Rotor subjected to partial single-actuator loss of effectiveness, possible external disturbances and ...

In recent years, various control problems of vehicle dynamics such as collision avoidance, rollover prevention, wheel slip control, driver assistance control have been studied. This study focuses on the stabilization problem of unstable vehicle dynamics ...

The wheelchair users are generally exposed to physical and psychological health problems, e.g., pressure sores and pain in the hip joint, associated with seating posture, or being inactive in a wheelchair for a long time. A smart wheelchair with back, ...

Abstract. In order to improve control quality of permanent magnet synchronous motor(PMSM) systems, a fractional order control method based on improved particle swarm optimization algorithm is proposed. Firstly, the mathematical model of permanent magnet ...

We develop a novel method to measure six geometric errors (two position-independent geometric errors and four position-dependent geometric errors) of a rotary manipulator; we use two displacement sensors and one measurement target to this end. To ...

Abstract: The solder joint significantly affects the quality of the electronic equipment. Recent researches focus on the automatic inspection of solder joints to detect the fault with high accuracy. The sleeve soldering system is one of the soldering ...

For characterizing the machining process in high-speed milling (HSM), there is a great significance to study on the cutting force signals. Presently, physical and analytical methods focus on material and mechanical characteristics, in which the tool ...

The silicone rubber dampers are widely used in aerospace equipment because of the advantages such as the small size, the width damping frequency and the good damping effect at the point of resonance. In order to improve the reliability of anti-adverse ...

The implement of the new generation geometrical product specificalions (GPS) which is based on metrology has greatly facilitated the study on the evaluation of geometric error,the paper focus on the method of error evaluation in perpendicularity of ...

In this paper, we describe a lightweight and accurate fault diagnosis method that detects oil leakage in automobile shock absorbers. Our approach includes a machine learning classifier as its base. These classifiers are quick and maintain a low ...

In aircraft control, the inertial measurement unit of the carrier is equipped with multiple sensors to collect real-time attitude data, and the master controller can control the flight state of the aircraft by fusing and solving the data. Using gradient ...

Abstract: Based on a kind of drawout-expanded ramps for Mars rover, A two-way optional autonomous deployment strategy is analyzed comprehensively. The strategy can realize the breakthrough that two transfer channels are provided by a set of transfer ...

Rotating machinery usually suffers different kinds of failure with the increase of serving time. Meanwhile, determining the root cause of the rotor failure is still a comprehensive and complex task, where external force induced by failure or ...

Proton exchange membrane fuel cell (PEMFC) degradation prediction is essential, especially in the industrial power generation system, since it can provide decision supports for equipment maintenance. As degradation phenomena inside PEMFC are strongly ...

For a great number of cyber physical systems both in practical and theoretical settings, the preprocessing of data needed for planning and control is often partly neglected in terms of its importance. Most pre-processing methods are not incorporated in ...

An IoT-based Predictive Maintenance helps to monitor an asset's health in real-time, alerts generation, predictive analytics, and gain data-driven decision-making based on failure probability. 2019 records showed that December KPI only reached 79:21 ...

Recent language models are pre-trained to generate universal word representations. This study proposes a BERT-Triplet model and its utilization methodology to generate word representations specialized for the text classification task. Specifically, we ...

This paper introduces a cognitive architecture, implemented in python3, designed with industrial collaborative robotics specifications in mind, to engage in a mixed-initiative teacher/learner setting called interactive task learning: a human can teach ...

The online detection of leak for liquefied gas storage tanks needs high-precision liquid level measuring methods, while the traditional ones cannot meet the measurement demand for the working fluid near its critical state. A precise level measurement ...