A multi-parameter physical fluid sensor system for industrial and automotive applications

2020 ◽  
Vol 87 (3) ◽  
pp. 189-200
Author(s):  
Thomas Voglhuber-Brunnmaier ◽  
Alexander O. Niedermayer ◽  
Friedrich Feichtinger ◽  
Erwin K. Reichel ◽  
Bernhard Jakoby
Keyword(s):  
Condition Monitoring ◽  
Coefficient Of Thermal Expansion ◽  
Engine Oil ◽  
Particulate Filter ◽  
Hydraulic Systems ◽  
Automotive Applications ◽  
Fluid Sensor ◽  
Free Air ◽  
Condition Monitoring System

AbstractAn online condition monitoring system based on the measurement of viscosity and density of liquids is presented and applied to three different measuring tasks relevant for industrial and automotive applications. One topic is oil characterization in hydraulic systems. It is shown that by measuring over varying temperature and pressure, additional physical properties can be made available for online condition monitoring, which are difficult to measure otherwise. These include, for example, the coefficient of thermal expansion and the bulk modulus, which is also related to the proportion of dissolved air. In the second application we investigate the efficiency of a passive oil defoamer and estimate the percentage of free air. Finally, the suitability of the measurement system for the determination of the diesel fraction in the engine oil as caused by the regeneration cycles of the diesel particulate filter is demonstrated.

Model-Based Condition Monitoring of an Electro-Hydraulic Valve

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Andreas Steinboeck ◽  
Wolfgang Kemmetmüller ◽  
Christoph Lassl ◽  
Andreas Kugi
Keyword(s):  
Condition Monitoring ◽  
Measurement Data ◽  
Industrial Plant ◽  
Effective Orifice Area ◽  
Hydraulic Systems ◽  
Flow Measurements ◽  
Orifice Area ◽  
Parametric Fault ◽  
Human Operators ◽  
Condition Monitoring System

In many hydraulic systems, it is difficult for human operators to detect faults or to monitor the condition of valves. Based on dynamical models of an electro-hydraulic servo valve and a hydraulic positioning unit, we develop a parametric fault detection and condition monitoring system for the valve. Our approach exploits the nexus between the spool position, the geometric orifice area, the flow conditions at wearing control edges, and the velocity of the controlled cylinder. The effective orifice area of each control edge is estimated based on measurement data and described by aggregate wear parameters. Their development is monitored during the service life of the valve, which allows consistent tracking of the condition of the valve. The method is suitable for permanent in situ condition monitoring. Flow measurements are not required. Computer simulations and measurement results from an industrial plant demonstrate the feasibility of the method.

DETERMINATION OF GLYCOL CONTAMINATION IN ENGINE OIL BY INFRARED AND UV-VIS SPECTROSCOPY

2018 ◽  
Author(s):  
Torrey Holland ◽  
Dennis Watson ◽  
P Sivakumar ◽  
Ali Abdul-Munaim ◽  
Robinson Karunanithy
Keyword(s):  
Engine Oil ◽  
Vis Spectroscopy

Online Real-Time Monitoring System Through Using Adaptive Angular-Velocity VKF Order Tracking

2012 ◽  
Author(s):  
Ting-Chi Yeh ◽  
Min-Chun Pan
Keyword(s):  
Angular Velocity ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Theoretical Derivation ◽  
Periodic Loading ◽  
Order Tracking ◽  
Computation Scheme ◽  
Condition Monitoring System ◽  
Operation Status

When rotary machines are running, acousto-mechanical signals acquired from the machines are able to reveal their operation status and machine conditions. Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies are integer (or fractional integer) multiples of the reference shaft speed. In this study we built an online real-time machine condition monitoring system based on the adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF_OT) algorithm, which was implemented through a DSP chip module and a user interface coded by the LabVIEW®. This paper briefly introduces the theoretical derivation and numerical implementation of computation scheme. Experimental works justify the effectiveness of applying the developed online real-time condition monitoring system. They are the detection of startup on the fluid-induced instability, whirl, performed by using a journal-bearing rotor test rig.

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