Wear debris monitoring of lubricant oil is an important method to determine the health and failure mode key components such as bearings gears in rotatory machines. The permittivity can be changed when wear enters oil. Capacitive sensing methods showed potential due simple structure good response. In order improve detection sensitivity reliability, this study proposes a new coaxial capacitive sensor network featured with parallel curved electrodes non-parallel plane electrodes. As kind...

Abstract Structural health monitoring (SHM) technology based on ultrasonic guided wave (UGW) has been widely researched and applied. The SHM instrument development become a current research hotspot. Existing UGW systems typically use the single-actuation-single-reception (SASR) mode require an external computer for data processing analysis. This results in large system size low scanning efficiency, making it difficult to meet requirements airborne applications. In response applications, this...

The micro/nano current is an important characteristic to reflect the electrohydrodynamic direct-writing (EDW) process. In this paper, a direct-written measurement system with high signal noise ratio was proposed monitor charged jets, providing data basis for promotion of stability and precision EDW jet. electrical characteristics printing process were studied, associated jet accuracy patterns. There impulse when front end reached collector then stable could be gained. With increase applied...

In addition to lubricating and cooling, aero-engine oil is also a transport medium for wear particles generated by mechanical wear. Online identification of the number shape an important means directly determine state rotating parts, but most existing research focuses on counting particles. this paper, qualitative classification method particle morphology based support vector machine proposed using capacitance signal obtained coaxial capacitive sensing network. Firstly, network simulation...

Abstract Recently, surface‐enhanced Raman spectroscopy (SERS)‐based detection strategies have been widely developed for various practical applications, due to the near‐single‐molecule sensitivity and fingerprint identification capability. However, qualitative quantitative reliability of SERS always questioned when comparing with classical GC/LC–MS techniques. Here, we systematically compared properties LC–MS in an unexpected herbicide commercial herbicide. The result showed that, case...

Raman spectrum contains abundant substance information with fingerprint characteristics. However, due to the huge variety of substances and their complex characteristic information, it is difficult recognize accurately. Starting from dimensions like shift, relative peak intensity, overall hit ratio peaks, we extracted recognized characteristics in analyzed these local global perspectives then proposed a comprehensive evaluation method for recognition on basis data fusion results under...

Due to long propagation distance and high sensitivity a variety of damages, ultrasonic guided wave technologies have been widely applied in the damage detection or health monitoring pipe networks large plate-like structures. However, there are two important problems be solved when applying this technology; namely, scanning time required for large-scaled structures serious crosstalk between actuation receiving signals, especially hot-spot regions. Therefore, study mainly designed key parts,...

Accurate wear debris detection is vital for diagnosing engine wear. However, due to uncertainties in behavior, size, and operating conditions, identifying different materials with a single sensor challenging. To improve sensitivity accuracy, we propose an integrated unit lubricating oil, emphasizing multifunction integration active intervention. This includes static mixer, flared transition zone, sensor-equipped zone. Parametric analysis reveals that mixed the mixer tends aggregate toward...

In multi-target tracking, the target's scale change and occlusion problems easily lead to target loss. At same time, tracking algorithm of data association based on deep learning for detection requires a high hardware platform cannot run multi-core DSP. Aiming at above problems, this paper proposes an online improved kernel correlation filter, using parallel mechanism establish tracker each tracking. The integrates multiple features Hog, CN LBP feature level enhance ability represent target;...

A novel power inverter control method with Dead-time State Equivalent Voltage Vectors (DSEWs) is introduced in this paper. The DSEW derived from natural commutation process while inserting dead-time switching state to legs. Based on the law of commutation, an algorithm designed calculate all possible DSEWs value when shifts. cost function created obtain optical duration time and rest for basic voltage vector every period. output selected vectors combination can improve tracking accuracy...

The qualitative and quantitative analysis of polycyclic aromatic hydrocarbons (PAHs) has been important for the environmental control persistent organic pollutants decades. Considering potential risk deterioration, degradation, external pollution during transportation, development rapid onsite detection trace PAHs is in demand. Here, taking advantage high sensitivity surface-enhanced Raman spectroscopy (SERS), we developed a shipboard instrument by combining portable flow injection device,...

Mean Shift is widely concerned because of its advantages like fast convergence, real-time performance and simple procedure. However, the tracking traditional algorithm obviously interfered when background has similar color as target or illumination changes. Besides, easy to defeat in case occlusion loss important frames. Therefore, this paper proposes two improvements based on algorithm. First, HLBP texture feature are employed describe order improve robustness Second, multiple models taken...

The control of the integration time Raman spectrometer is a crucial factor for acquisition quality spectrum. However, due to coupling effect linear and nonlinear factors such as intensity scattering effect, noise, fluorescence optical path, it rather difficult fast time, which influences efficiency. In this article, aiming at automatic optimal model parameter self-correcting fuzzy proportional–integral–derivative adaptive (MPSC-FPIDA) method proposed. By constructing an initial prediction...

Micro-EDM is a flexible process which has many technique methods such as forming, drilling, milling, copying and WEDM. Combined these together can enhance the EDM machining ability. In this paper set of route design regulations used in combined proposed. Through regulations, optimal be obtained improve high quality efficiency. To test performance micro part designed its fabrication performed at last.