190 results about "Principal element" patented technology

Provided is a mobile event-recording device that includes distributed elements within, attached to or otherwise mounted to a mobile vehicle, with the principal elements being: a first camera providing a real-time video signal that corresponds to an observed outboard live-motion scene; and a digital video recorder receiving the video signal provided by the camera and recording the video signal in response to a trigger signal (e.g., an activation switch for a light bar or siren, an air bag sensor signal indicating air bag deployment, or depression of an emergency button or a dedicated recording activation switch). The video recorder uses a buffer to receive and store the video signal so as to preserve the video signal during a programmable sliding (or rolling) time interval prior to the triggering event. Thus, in response to provision of the trigger signal, at least a portion of the video signal stored in the buffer is preserved for recording by the video recorder on a hard disk (or other long-term storage medium) and thereafter, the video recorder records directly on the hard disk (or other long-term storage medium).

The magnetic material for magnetic refrigeration according to the present invention has an NaZn₁₃-type crystalline structure and comprises iron (Fe) as a principal element (more specifically, Fe is substituted for the position of “Zn”) and hydrogen (H) in an amount of 2 to 18 atomic % based on all constitutional elements. Preferably, the magnetic material for magnetic refrigeration preferably contains 61 to 87 atomic % of Fe, 4 to 18 atomic % of a total amount of Si and Al, 5 to 7 atomic % of La. The magnetic material for magnetic refrigeration exhibits a large entropy change in a room temperature region and no thermal hysteresis in a magnetic phase transition. Therefore, when a magnetic refrigeration cycle is configured using the magnetic material for magnetic refrigeration, a stable operation can be performed.

A chemical supply system comprises, as principal elements, a chemical storage tank in which a liquid chemical for cleaning is stored in the state of its formulated concentrate, a chemical supply apparatus connected to the chemical storage tank for positively performing chemical supply, a piping system connected to the chemical supply apparatus to form a supply flow passage that is a passage for ultrapure water which the liquid chemical is to be mixed with, a pair of discharge nozzles disposed at end portions of the piping system so as to oppose surfaces of a wafer set in a cleaning chamber to supply a cleaning liquid onto the surfaces. Thereby, remarkable miniaturization/simplification of a cleaning liquid supply system including chemical tanks is intended, it is made possible easily and rapidly to compound and supply a cleaning liquid at an accurate chemical concentration, and particles or the like being generated and mixing in a cleaning liquid, are suppressed to the extremity.

A process variable transmitter with diagnostics based on power spectral density (PSD) analysis of a process variable sensor signal is provided. In one embodiment, the process variable transmitter is a pressure transmitter and the diagnostics are used to diagnose impulse line obstruction or impending obstruction. Other diagnostics are also useful such as diagnosing primary element degradation. The sensor signal is digitized and the digitized signal is transferred into the frequency domain. The power of the frequencies on the sensor signal is examined to provide the enhanced diagnostics. In one aspect diagnostics are generated directly with the sensor PSD data. In another aspect, the PSD analysis is used to tune a filter in order to enhance traditional diagnostic algorithms.

Noble metallic tips, made of a Pt alloy or an Ir alloy, are fixed to electrode base materials. The electrode base materials are an alloy containing a chief element selected from the group consisting of Ni, Fe, and Co and a plurality of additive elements. At least two kinds of additive elements contained in this alloy have a standard free energy of formation smaller than that of the chief element.

The invention discloses a wind turbine gear box fault recognition method. The method comprises the following steps: historical wind turbine gear box operation data in a certain time range are acquired; autocorrelation analysis is adopted for carrying out wavelet de-noising processing on the historical data; through fast Fourier transform, time domain and frequency domain characteristic parameters in the historical data after de-noising are extracted; a kernel principal component analysis method is adopted to carry out dimensionality reduction on the characteristic parameters, and several nonlinear principal elements with the maximum variance cumulative contribution rate are extracted; the nonlinear principal elements extracted by the historical gear box normal operation data are used for building a normal model, a support vector machine is used for training to guide the nonlinear principal elements extracted by later gear box operation historical data to the model after training, and thus, the gear box fault is recognized. The vibration signal processing ability is improved, and an important role is played in gear box fault recognition.

The present disclosure relates to relates generally to metal alloys. The present disclosure relates more particularly to High Entropy Alloys having relatively high strength and relatively low weight. In one aspect, the present disclosure provides a multiple-principal-element high-entropy AlCrTiV metal alloy comprising Al in an amount of 5-50 at %; Cr in an amount of 5-50 at %; Ti in an amount of 5-60 at %; and V in an amount of 5-50 at %, wherein the total amount of Al, Cr, Ti and V is at least 80 at %.

The invention discloses a calibration method of a line-structured light vision measuring sensor based on the space plane restriction, comprising the following calibrating steps: placing a two-dimensional planar target in a camera field range; collecting a group of images of multiple characteristic circles at the different positions on a two-dimensional target panel; determining the target topological relation; and synchronously completing the internal parameter calibration and the light planar calibration of a camera. In the process of the light planar calibration, substantial quantity of line-structured light planar three-dimensional points can be easily extracted by utilizing a camera imaging model and the restraining provided by the space plane formed by each position target; and planar fitting is carried out on the three-dimensional point set based on a principal element analytical method, so as to obtain an equation of the light plane in the coordinate system. The calibration method of the invention has simple operation and reliable result, is suitable for field calibration, and can satisfy the requirements of the line-structured light vision high-precision detecting tasks.

The invention discloses a method of monitoring faults in sections for an intermittent control system and relates to a fault monitoring method. Firstly, a plurality of batches of collected intermittent process data are standardized in a way of expanding variables, and a data matrix on each sampling time is subjected to principal component analysis; secondly, a fuzzy C-means clustering is a fuzzy clustering analysis method which is suitable for soft partition and is generated through combining a fuzzy set theory and a k-means clustering; and thirdly, after segmentation is finished, an improved MPCA (Multiway Principal Component Analysis) model with a time varying principal element covariance on the basis of expanding variables is established on each subphase, then when on-line monitoring is carried out, which phase a new batch of data belongs to is judged, whether the data exceeds the fault monitoring control limit or not is calculated and judged, if so, a fault occurs, and the fault monitoring in sections ends. According to the invention, process multi-phase partition is more accurate, misinformation and missing report rates in monitoring are reduced, and the practical application and operability are strong.

The invention is a pipe joint for joining pipes composed of materials that are difficult to adhere. The major elements are an extrudable adhesive; a first pipe having a socket with an inside diameter, where said socket has a mouth, a self-centering bottom with a gasket, a cylindrical wall with a plurality of ports, and an inner annular channel. A second pipe has an insertion section with an squared-off end and a rolled groove. The second pipe having an outside diameter that is less than the inside diameter of the socket, where the difference defines a coaxial cavity with a width. The rolled groove serves as a distribution channel while the adhesive is a liquid, and upon curing the solid adhesive functions as a retaining ring. A flanged annular ring, potentially aided by a compression apparatus, caps the cavity, centers the insertion section, and maintains compression. The adhesive includes alkyl-borane-adhesives.

A high strength multi-component alloy contains multi-principal elements and is formulated under a design concept different from the prior art. The multi-component alloy contains Fe, Co, Ni, Cr, Cu and Al as main elements. Each main element of the multi-component alloy is in the range of about 5 to about 35 atom % based on the total number of atoms of the alloy. The multi-component alloy has high strength at high temperature.

The invention discloses a layered integrated Gaussian process regression soft measurement modeling method used for a complex changeable multi-stage chemical process. The layered integrated Gaussian process regression soft measurement modeling method is an on-line multi-model strategy. A Gaussian mixture model is employed to identify different stages of the process, principal component analysis is carried out on data in each stage, on the basis of the contribution degree of each auxiliary variable in the principal element space, data in each mode is divided into several subspaces, and a corresponding Gaussian process regression soft measurement model is established. When new data comes around, variable selection is carried out by means of subspace PCA, and on the basis of the soft measurement model which is established off line, the prediction output of each model can be obtained. By carrying out mean value fusion on outputs of subspace models, first layer integrated output, i.e., local prediction output in each mode can be obtained, finally new data obtained according to calculation is attached to the posterior probability of each different stage, and local prediction in each mode is fused by means of the posterior probability to obtain second layer integrated output. Key variables can be accurately predicted, and therefore the product quality is improved, and the production cost is reduced.

The invention discloses a multiphase-doped nickel-cobalt-manganese ternary anode material and a preparation method and application thereof. The chemical expression of the multiphase-doped nickel-cobalt-manganese ternary anode material is Li<delta>Ni<x>Co<y>Mn<z>MNO<2>, wherein the following relations are met: 0.9<=delta<=1.3; 0.33<=x<=0.98; 0.02<=y<=0.4; 0.02<=z<=0.4; x+y+z=1; a>0, b>0, and0.0024<=a+b<=0.042; M is a principal element in a melting additive; and N is a principal element in a strong chemical-bond energy additive. Meanwhile, the invention discloses the preparation method ofthe multiphase-doped nickel-cobalt-manganese ternary anode material and also discloses application of the multiphase-doped nickel-cobalt-manganese ternary anode material. According to the prepared multiphase-doped nickel-cobalt-manganese ternary anode material, the use effectiveness of the anode material is improved multi-dimensionally by use of the synergistic effect among doped elements.