scholarly journals On-Line Fault Detection and Compensation of Hydraulic Driven Machines Using Modelling Techniques

Author(s):  
Chrissanthi Angeli ◽  
◽  
Avraam Chatzinikolaou ◽  

The development of on-line fault detection methods for drive and control systems is of main importance for the modern production technology. Modelling information improves the reliability of the diagnostic method when it is involved in a fault detection system. In this paper, the use of modelling information for the fault detection of hydraulic driven machines as well as for the compensation of incipient faults is presented. For this purpose a suitable implementation environment was developed that allows the on line interaction of real time data and simulation results and makes possible their direct effect to the actual system.

Aerospace ◽  
2006 ◽  
Author(s):  
Gerardo Pen˜a ◽  
Kenneth Hunziker ◽  
Christopher Davis ◽  
Matthew Malkin

Corrosion affects the maintenance of metal aircraft. Because the onset of corrosion is unpredictable, sensing corrosion is a challenge and scheduled inspections are mandated by corrosion prevention and control programs. Visual inspection is the most common method of corrosion detection. Visual inspections of aircraft structures that are difficult to access are costly and invasive. Beyond visual inspection, several non-destructive corrosion detection methods exist, such as ultrasonic scanners and pulsed eddy current systems. The functionality of these systems, however, does not minimize the invasiveness of inspections. Access to the structure under inspection is required to use these systems or to perform visual inspections. This paper describes a self-powered, wireless corrosion detection system which could enable modification of existing inspection schemes in difficult-to-access areas where corrosion is expected to develop, for example, on structure beneath an aircraft galley or lavatory. The system consists of an energy harvester, an energy storage and conditioning circuit, a corrosion sensing element, and a wireless transceiver network. Advances in energy harvesting and low-power wireless transceivers have enabled the design. The system allows users to download corrosion data from a sensor through a wireless connection, without the need for costly structural disassembly. Because the device is self-powered and wireless, it operates indefinitely without battery replacement, and does not require power or data wiring from the aircraft.


2018 ◽  
Vol 232 ◽  
pp. 04053
Author(s):  
Cheng-xing Miao ◽  
Qing Li ◽  
Sheng-yao Jia

In order to get ridded of the non real-time detection methods of artificial site sampled and laboratory instrument analyzed in the field of methane detection in the offshore shallow gas, real-time in-situ detection system for methane in offshore shallow gas was designed by the film interface.The methane in the offshore shallow gas through the gas-liquid separation membrane of polymer permeation into the system internal detection probe, analog infrared micro gas sensor sensed the methane concentration and the corresponded output value, data acquisition and communication node fitted into standard gas concentration.Based on the experimental data compared with the traditional detection method, and further analyzed the causes of error produced by the case experiment. The application results show that the system can achieve a single borehole layout, long-term on-line in-situ on-line detection, and improve the detection efficiency and the timeliness of the detection data.


2012 ◽  
Vol 433-440 ◽  
pp. 4082-4086
Author(s):  
Yue Dong Chen ◽  
Chang Zhong Yu

The essay introduce the hardware Design based on the Line detection system, and apply the wavelet analysis theory to the low clutch’s fault signal processing to fulfill the low clutch’s noise detection which based on the wavelet transform. Practice shows that the continuous wavelet signal has a strong ability of fault detection, if reasonable choice of wavelet function and various parameters among the fault detection, the local feature of the fault signal can be intuitively got, thus supply the products with a effective tool. The current washing machine clutch all have a washing deceleration function, so it is called as low clutch. As one of the most common parts of rotating machinery, low clutch is also one of the easily damaged parts among the rotating machinery. According to statistics, thirty percent of the rotating machinery’s operational problems caused by the bearing faults[1]. Bearing defects can cause severely machine vibration and generation noise, or even cause damage to the equipment[4]. This article is mainly detect the low clutch’s vibration noise in operation by accelerometer, and deal with the collected data through wavelet transform, thus realize the On-line condition monitoring to the low clutch.


2006 ◽  
Vol 39 (15) ◽  
pp. 91-96
Author(s):  
Gianluca Ippoliti ◽  
Sauro Longhi ◽  
Andrea Monteriù

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Yonghong Zhang ◽  
Tiantian Dong ◽  
Yunping Liu

Among current detection methods of the atmospheric boundary layer, sounding balloon has disadvantages such as low recovery and low reuse rate, anemometer tower has disadvantages such as fixed location and high cost, and remote sensing detection has disadvantages such as low data accuracy. In this paper, a meteorological element sensor was carried on a six-rotor UAV platform to achieve detection of meteorological elements of the atmospheric boundary layer, and the influence of different installation positions of the meteorological element sensor on the detection accuracy of the meteorological element sensor was analyzed through many experiments. Firstly, a six-rotor UAV platform was built through mechanical structure design and control system design. Secondly, data such as temperature, relative humidity, pressure, elevation, and latitude and longitude were collected by designing a meteorological element detection system. Thirdly, data management of the collected data was conducted, including local storage and real-time display on ground host computer. Finally, combined with the comprehensive analysis of the data of automatic weather station, the validity of the data was verified. This six-rotor UAV platform carrying a meteorological element sensor can effectively realize the direct measurement of the atmospheric boundary layer and in some cases can make up for the deficiency of sounding balloon, anemometer tower, and remote sensing detection.


2020 ◽  
Vol 8 (5) ◽  
pp. 2582-2586

Automation and control systems are necessary throughout oil & gas industries, to production and processing plants, and distribution and retailing of petroleum products. Pipelines are the efficient mode of transportations of fuels for processing plants over long distances. At present Automation is achieved by using PLC’s that are communicated through SCADA. But it is complex and remote operation is not possible. With the introduction of IoT, the pipeline leak detection system is improved through real-time monitoring of the pipelines. Our Proposed system is designed to detect even small leakage that occurs within the pipeline. The implementation of IoT in oil and gas industries prevents accidents and to make quick decisions based on real-time data


2013 ◽  
Vol 438-439 ◽  
pp. 1084-1088
Author(s):  
Ummin Okumura ◽  
Yu Jie Qi ◽  
Yun Long ◽  
Tian Hang Zhang

Based on the platform of LabVIEW, a set of roller intelligent detecting system is developed. With this system, it is easy to realize functions of fast nondestructive testing of subgrade compaction degree, roller speed, rollers compaction trajectory, compaction times, GPS real-time positioning as well as saving and printing report forms. Compared with traditional detection methods, this detecting system can test and control on-site compaction quality much more easily, in order to speed up the construction progress, improve the quality of subgrade compaction, control and manage compaction work better.


Author(s):  
Mohamed Kheireddine Aroua ◽  
Chun Ming Chew ◽  
Mohamed Azlan Hussain

In this paper mathematical models are proposed to simulate the dynamic behaviour of the reduction of Cr(VI) with Fe(II) in a batch stirred tank. Two approaches have been adopted to represent systems in non-equilibrium and quasi-equilibrium conditions. The models derived reflect the changes of the relevant reactant species concentration based on the Oxidation Reduction Potential (ORP) of the system. An automated pilot plant has been designed and commissioned to carry out on-line/real time data acquisition and control for this Cr(VI) reduction process experimentally. Both the quasi-equilibrium and non-equilibrium models were validated experimentally. Simulated and on-line results indicate distinctive ORP profiles pattern for these two processes. The ORP profiles for non-equilibrium processes show a distinctive pattern which indicates the complete reduction of Cr(VI) in the batch sample.


2013 ◽  
Vol 380-384 ◽  
pp. 716-721 ◽  
Author(s):  
Guan Qi Guo ◽  
Xiang Jun Su ◽  
Xiang Liu

Based on the logistics management and control system of the cold-rolled finished products, this system has realized many features, including three-dimensional positioning of the crane, a variety of real-time data collected through the RFID systems and magnet detection system and wireless data acquisition in the coil storage or out of the library or inverted treasury job process transmitted to the server, coil warehouse operations process optimization and control, forming automatically a plan and target location to crane, Prompting crane operations, real-time monitoring of crane operating, recording crane operating results, tracking and positioning of the treasury coil information, updating treasury stock coil position in real time, inquiry treasury stock and automatic generation of warehouse operations statements by teams or date or month or year, communication with ERP or MES etc. Through seamless connectivity between the crane operating system and warehouse management systems and enterprise information systems, the system can achieve precise synchronization of logistics and information flow.


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