Frequency Conversion Control for Vibration Mill with High Vibration Intensity Based on Multi-Wave Variable Sinusoid

2012 ◽  
Vol 538-541 ◽  
pp. 2504-2507
Author(s):  
Xiao Lan Yang ◽  
Min Ping Jia ◽  
Jing Chao Zou ◽  
Ji Feng Liu ◽  
Fang Min Xv
Keyword(s):  
Frequency Conversion ◽  
Digital Conversion ◽  
Vibration Machine ◽  
Key Technology ◽  
Vibration Intensity ◽  
Wave Variable ◽  
Action Time ◽  
On Line ◽  
Useful Life ◽  
Vibration Mill

The key technology of vibration machine to finish deaggregation and powder refinement is both high vibration Intensity with a certain frequency and steady vibration of frequency conversion control. A frequency conversion control for vibration mill system based on multi-wave variable sinusoidal frequency ascending and descending cycle curve was developed. The frequency conversion control test of vibration mill was finished through sensing signal amplification, analog digital conversion and on line detection. The results show that the high and super-high vibration intensity with certain action time is produced and the effect of multi-amplitude and multi-frequency is acquired. The experimental data show that the super micro grinding of superfine particles is achieved, energy consumption is reduced, the useful life of wearing parts such as bearing is extended, and engineering effects of deaggregation and refinement of super-hard superfine powder are obtained by frequency conversion control.

Research on Advance Control of Chaotic Vibration Mill with High Vibration Intensity - Base on PLC Experimental Analysis

2013 ◽  
Vol 655-657 ◽  
pp. 1465-1468 ◽  
Author(s):  
Xiao Lan Yang ◽  
Ji Feng Liu ◽  
Min Ping Jia ◽  
Jing Chao Zou ◽  
Fang Min Xv
Keyword(s):  
Control System ◽  
Experimental Analysis ◽  
Frequency Conversion ◽  
Key Technology ◽  
Vibration Intensity ◽  
Special Operations ◽  
Chaotic Vibration ◽  
Advanced Control ◽  
Control Decision ◽  
Vibration Mill

Some special operations of chaotic vibration mill require not only has a certain frequency high vibration intensity but also can effectively control overtime and over-limited of vibration intensity. The validity of advanced control decision is key technology for chaotic vibration mill to achieve some special operations such as super-hard and superfine grinding. Through the application based on the intelligent frequency conversion of PLC advanced control system, the high vibration intensity exceeds 15 presents discontinuously and the transient super-high vibration intensity exceeds 20 presents 3 times shortly. By comparing with conventional vibration mill, it shows that the advance control system can control high vibration intensity effectively, and the engineering effects of the deaggregation and refinement of super-hard and superfine grinding is obtained.

Advance Control Experiment of Vibration Machine with High Vibration Intensity Based on SCM – Dynamics Characteristics and Advanced Control

2014 ◽  
Vol 912-914 ◽  
pp. 554-558
Author(s):  
Xiao Lan Yang ◽  
Ji Feng Liu ◽  
Meng Nan Si ◽  
Jia Wei Li ◽  
Biao Huang
Keyword(s):  
Frequency Conversion ◽  
Frequency Converter ◽  
Vibration Exciter ◽  
Vibration Machine ◽  
Vibration Intensity ◽  
Strongly Nonlinear ◽  
Advanced Control ◽  
Vibration Stress ◽  
Double Mass ◽  
Intensity Characteristic

The vibration-stress field could be formed by high vibration intensity in vibration machine to improve the ability of the collision, shock, shear and extrusion for the system, and it also can avoid plugging screen for vibration screening machine, which could make for solving some special requirements of the vibration machine. To research the vibration machines strongly nonlinear and high vibration intensity characteristic such as certain excitation and uncertain response, the vibration machine with its double-mass is built, and its vibration exciter uses two partial blocks as vibration motor. In addition, dynamic vibration differential equation is established. To achieve high vibration intensity results based on the vibration machines safe working, the advanced control based on the SCM and Intelligent frequency conversion is put forward, and the advanced control system with its host computer, frequency converter, SCM, charge-amplifier, sensor and the vibration machine is been established.

The Study and Experiment of Advance Control of Chaotic Vibration Mill with High Vibration Intensity Based on SCM (II) — The System Construction and the Controlling Methods

2012 ◽  
Vol 256-259 ◽  
pp. 2914-2917
Author(s):  
Xiao Lan Yang ◽  
Ji Feng Liu ◽  
Zeng Wen Xiao ◽  
Fang Min Xu
Keyword(s):  
System Construction ◽  
Constraint Condition ◽  
Multiple Frequency ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Frequency Curve ◽  
Multiple Wave ◽  
Vibration Intensity ◽  
On Line ◽  
Vibration Mill

A intelligent variable frequency amplitude reduction advance control system whose single-chip-microcomputer act as the core controller is built, and the vibration frequency curve with multiple wave variable sine increase and decrease periodic cycle is applied as the input frequency curve, which made the vibration mill have multiple frequency and amplitude. The control methods are studied, and the operation program is debugged. By using the sensor signal amplification, A/D conversion, on-line monitoring, data mining, and the forecast of the extreme value point of the vibration intensity and its distribution, and then by conducting the judgment, detection, correction and real-time feedback of constraint condition to achieve advance control of vibration intensity over-limit and over-time.

Research on Advance Control of Chaotic Vibration Machine with High Vibration Intensity (I) - Mechanical Properties and PLC Control Decision

2014 ◽  
Vol 610 ◽  
pp. 489-492
Author(s):  
Xiao Lan Yang ◽  
Ji Feng Liu ◽  
Han Song Yang ◽  
Bing Zhi Kong ◽  
Jia Wei Li ◽  
...  
Keyword(s):  
Extreme Points ◽  
Effective Control ◽  
Vibration Machine ◽  
Vibration Intensity ◽  
Chaotic Vibration ◽  
Plc Control ◽  
Advanced Control ◽  
Control Decision ◽  
Online Monitor ◽  
Vibration Mill

The effective control of high-vibration intensity frequency and its overtime and over-limited is a bottleneck technology of chaotic vibration machine to finish specific operation. A PLC advance control system based on intelligent frequency is developed. Prediction of the possible vibration intensity extreme points and its distribution are processed data mining and prediction by sensor signal amplification, analog-digital conversion, and online monitor. Moreover, advanced control of the overtime and over-limited vibration intensity is achieved by constraint conditions correction and real-time feedback. The advanced control results can be verified by comparing grinding effect of conventional vibration mill with that of advanced control vibration mill. Further, the deaggregation and refinement of super-hard and superfine grinding can be achieved.

scholarly journals Remaining Useful Life Estimation of Aircraft Engines Using a Joint Deep Learning Model Based on TCNN and Transformer

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Hai-Kun Wang ◽  
Yi Cheng ◽  
Ke Song
Keyword(s):  
Deep Learning ◽  
Working Conditions ◽  
Health Management ◽  
Remaining Useful Life ◽  
Aircraft Engines ◽  
Key Technology ◽  
Life Estimation ◽  
Useful Life ◽  
New Generation ◽  
Deep Learning Model

The remaining useful life estimation is a key technology in prognostics and health management (PHM) systems for a new generation of aircraft engines. With the increase in massive monitoring data, it brings new opportunities to improve the prediction from the perspective of deep learning. Therefore, we propose a novel joint deep learning architecture that is composed of two main parts: the transformer encoder, which uses scaled dot-product attention to extract dependencies across distances in time series, and the temporal convolution neural network (TCNN), which is constructed to fix the insensitivity of the self-attention mechanism to local features. Both parts are jointly trained within a regression module, which implies that the proposed approach differs from traditional ensemble learning models. It is applied on the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dataset from the Prognostics Center of Excellence at NASA Ames, and satisfactory results are obtained, especially under complex working conditions.

scholarly journals A Novel Technique for Resolver-to-Digital Conversion Using Principal Frequency Component S-Transform

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Like He ◽  
Jiliang Yi
Keyword(s):  
Frequency Conversion ◽  
Frequency Component ◽  
Sampling Point ◽  
Angle Error ◽  
Digital Conversion ◽  
Time Frequency ◽  
Novel Technique ◽  
Principal Frequency ◽  
S Transform ◽  
Maximum Angle

A novel technique for resolver-to-digital conversion (RDC) using principal frequency component S-transform (PFCST) is proposed in this paper. First, the mode envelope of two output signals of the resolver is extracted by PFCST. The envelope extracted by PFCST maintains the same time resolution as the original signal because it performs time-frequency conversion for each sampling point. Then, the quadrant of the resolver is determined by the judgment rule formed by the polarity of the optimum nonzero region of the signals, and the quadrant information is used to correct the arctangent to obtain the accurate rotor position. Finally, the simulations prove that the maximum angle error of the resolver estimated by this method occurs at the quadrant junction but does not exceed one deg., and the experiments are used to verify the effectiveness of the proposed method.

scholarly journals Accurate Real Time On-Line Estimation of State-of-Health and Remaining Useful Life of Li ion Batteries

2020 ◽  
Vol 10 (21) ◽  
pp. 7836
Author(s):  
Cher Ming Tan ◽  
Preetpal Singh ◽  
Che Chen
Keyword(s):  
Lithium Ion Batteries ◽  
Real Time ◽  
Estimation Method ◽  
Lithium Ion ◽  
Threshold Level ◽  
Remaining Useful Life ◽  
Operating Conditions ◽  
State Of Health ◽  
On Line ◽  
Useful Life

Inaccurate state-of-health (SoH) estimation of battery can lead to over-discharge as the actual depth of discharge will be deeper, or a more-than-necessary number of charges as the calculated SoC will be underestimated, depending on whether the inaccuracy in the maximum stored charge is over or under estimated. Both can lead to increased degradation of a battery. Inaccurate SoH can also lead to the continuous use of battery below 80% actual SoH that could lead to catastrophic failures. Therefore, an accurate and rapid on-line SoH estimation method for lithium ion batteries, under different operating conditions such as varying ambient temperatures and discharge rates, is important. This work develops a method for this purpose, and the method combines the electrochemistry-based electrical model and semi-empirical capacity fading model on a discharge curve of a lithium-ion battery for the estimation of its maximum stored charge capacity, and thus its state of health. The method developed produces a close form that relates SoH with the number of charge-discharge cycles as well as operating temperatures and currents, and its inverse application allows us to estimate the remaining useful life of lithium ion batteries (LiB) for a given SoH threshold level. The estimation time is less than 5 s as the combined model is a closed-form model, and hence it is suitable for real time and on-line applications.

Automotive Battery Prognostics Using Dual Extended Kalman Filter

2009 ◽  
Author(s):  
Matteo Rubagotti ◽  
Simona Onori ◽  
Giorgio Rizzoni
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Remaining Useful Life ◽  
State Of Charge ◽  
Future Evolution ◽  
On Line ◽  
Automotive Batteries ◽  
Useful Life ◽  
Simulation Results

This paper proposes a strategy for estimating the remaining useful life of automotive batteries based on dual Extended Kalman Filter. A nonlinear model of the battery is exploited for the on-line estimation of the State of Charge, and this information is used to evaluate the actual capacity and predict its future evolution, from which an estimate of the remaining useful life is obtained with suitable margins of uncertainty. Simulation results using experimental data from lead-acid batteries show the effectiveness of the approach.

On-Line Life Prediction of a Structural Hotspot

2008 ◽  
Author(s):  
Subhasish Mohanty ◽  
Aditi Chattopadhyay ◽  
Pedro Peralta
Keyword(s):  
State Estimation ◽  
Real Time ◽  
Structural Component ◽  
Probabilistic Models ◽  
Damage State ◽  
Prognosis Model ◽  
On Line ◽  
Useful Life ◽  
Complex Structural ◽  
Damage Condition

Current aerospace practice follows an engineering model based on damage-tolerant reliability whereby structural components are regularly inspected and replaced. Under this practice, engineering designs are generally based on a physics-based fracture mechanics approach, in which the life of structural component is estimated using an assumed initial damaged condition. However, in a real time environment, keeping track of the damage condition of a complex structural component manually is quite difficult and requires automatic damage state estimation. The real-time damage state information can be regularly fed to a prognosis model to update the residual useful life estimation in event of a new prevailing situation. The present paper discusses the use of an adaptive hybrid prognosis model, which estimates the residual useful life of a structural hotspot using information on the damage condition obtained in real time. The hybrid prognosis model has two modules: an off-line prognosis module that forecasts the future damage state, and an on-line state estimation module, which regularly predicts the current damage state and feeds into the off-line module in real time. Both the off-line and on-line modules are probabilistic models and use the concept of Bayesian inference based on input-output mapping through a Gaussian process.

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