Online wear particle detectors have been widely studied due to their ability monitor the state of machines, and help prevent serious mechanical failures caused by excessive components. This paper presents a review state-of-the-art debris based on different principles. That mainly includes optical/imaging detectors, electrical ultrasonic magnetic detection sensors. Meanwhile, characteristics performance (sensitivity, maximum flow rate, detectable information) each type sensor are detailed...

Wind flow regarded as a renewable energy source is present everywhere in indoor or open environments. A self‐sustained flow‐sensing microsystem especially desirable future applications of smart home, remote sensing and environmental monitoring. Piezoelectric thin films are commonly adopted microenergy harvesters for converting the mechanical strain into an electrical charge based on piezoelectric effect. It also promising candidate sensors because its passive nature, that is, detectable...

Tailor-rolled blank thin-walled (TRB-TH) structures have become important vehicle components owing to their advantages of light weight and crashworthiness. The purpose this article is provide an efficient lightweight design for improving the energy-absorbing capability TRB-TH under dynamic loading. A finite element (FE) model established validated by performing a axial crash test. Different material properties individual parts with different thicknesses are considered in FE model. Then,...

This paper proposes a novel kind of multi-operator multi-robot(MOMR) teleoperation systems - the competitive system. Compared with conventional collaborated MOMR system, features and properties system are presented. Futhermore, major concerns research development for this discussed subsequently. Finally, telegame, Internet-based systems, is built as prototype to support future on aspect some experimental results presented discussion.

This paper introduces a new application of virtual repulsive force feedback (VRFF) in telegame, competitive multi-robot teleoperation system. system allows multiple users to play the game competitively over Internet. To improve teleoperator's situation awareness and enhance control dexterity, many reality approaches are used human machine interface. The VRFF is developed based on an orient cylinder bounding (OCB) collision detection algorithm. A teleoperation/telegame robot platform (TTRP)...

A novel numerical simulation method based on NURBS geometric description, first proposed by Hughes et al. is applied to analyze the two-dimensional piezoelectric structure. It was reported recently have some remarkable advantages, such as exact and unified geometry representation, high-order continuous elements superior accuracy for per degree-of-freedom. Regrettably, basis functions don't verify Kronecker delta property at control points, which would lead an awkward implementation imposing...

The photovoltaic power generation directly converts the solar energy into electric through cell, which is an important way to solve shortage and environmental pollution. In order raise reliability reduce costs of grid-connected station, we analyze types common faults causes, specify numerous devices disperse layout, design wireless monitoring diagnosis system realize monitor control for station in ensure safe operation.

Online oil monitoring technique is now an important development means to monitor wear condition and diagnose fault real time. Inductive debris the research hotspot in current online for its unique characteristics. Based on domestic international inductive monitoring, relevant comments technology were given. Then, positive inverse problems of numerical analysis are analysed. above, difficulties shortages studied trend focus discussion provide research.

A difficulty-adjustable, strong-interactive teleoperation system - Nankai telegame (Nankai and robot platform), which can be used to test the control strategy algorithm by adjusting difficulty of system, is explored in this paper. Thus we find out kind suitable for different network environments our system. At end article, give conclusion future work

This paper proposes an intelligent robot technology that integrates deep learning and machine vision to address issues such as low inspection efficiency difficulty in identifying hidden dangers pipeline safety management for military vessels. accurately efficiently identify problems operation. In terms of specific implementation, we use neural networks methods extract features from surface internal imaging, continuously optimizing network weights parameters, improving the accuracy detecting...

With the continuous development of power Internet Things and smart grid technology, potential value big data is also being continuously explored. Based on data, this paper introduces technical system in detail. Through classifying users, it determines influencing factors users' electricity consumption behavior common research methods for analyzing behavior.

Safety operation of mechanical equipment groups is great importance to production and human resources as well environment. In order ensure safe improve intelligent level early fault prediction for key groups, this paper proposes health management based on the internet things with structure three layers realize comprehensive perception, reliable transmission processing information from groups. Two technologies like condition monitoring are analyzed application prospects presented in paper.

Fault prediction is the key technology to guarantee safe operation of large mechanical equipment,and fault feature extraction a issue in prediction. To extract from non-stationary signals, this paper proposed method using lifting wavelet packet, and constructed vector optimal energy. The analysis shows that can highlight energy change within decomposition frequency band, effectively reflect status.

Wind turbine vibration signal is disturbed by noise, which seriously affects the subsequent fault diagnosis of turbine. The existing de-noising methods have problems like principle not clear, operation easy to carry out, and effect obvious. An adaptive SVD method based on entropy put forward. Principle analyzed, two main high dimension reconstruction are compared; High dimensional Hankel matrix reconstructed according parity length time series inequality second order difference spectrum...