The Importance Of Effective Maintenance

The magnificence Of Effective livingSince the maintenance has signifi behindt impacts in industry, it has received a deep attention from the upright and practical maintenance. According to study, maintenance costs bath represent from 15% to 40% of the costs of goods produced x2. Maintenance of do by equipment is one of the inescapable childbeds associated with the operation of industrial fructifys and until relatively recently, it was implemented either on a r extinctine basis or after the failure of equipment. Attitudes argon changing and now m both organisations are adopting methods for identifying incipient faults, so that maintenance can be scheduled before there has been a failure, which would postulate to loss of production and spoilage of raw material. Plants and opposite mechanism centres are assembled from a wide pattern of mechanical and electrical equipment, which due to their very nature are subject to wear, corrosion, erosion and other forms of a standstillme nt 1.It is widely accepted that intelligent, sensor based manufacturing is vital to achieve a high availability level of the sophisticated manufacturing dusts in conjunction with high quality levels of manufactured atoms. Advanced sensor design, coupled with level touch on technologies, permits improved education about the process condition enabling process optimisation and regard. It is not adequate to have information relating solely to the tool condition. Additional capabilities such as in process quality control and mechanism tool diagnostics are a requirement of the future, i.e. a excite from supervise the tool condition to monitoring the process condition and the resulting part quality. 2 The use of mechanical palpitation and acoustic emission signals for fault diagnosis in rotating elevator carry has grown significantly due to advances in the gird of digital signal processing algorithms and executing techniques. The conventional diagnosis technology employ aco ustic and shaking signals already exists in the form of techniques applying the age and frequency domain of signals, and analysing the difference of signals in the spectrum. Unfortunately, in few applications the act is limited, such as when the signals ca employ by a damaged element are buried in stage setting noise. x3In recent years, the possibility of obtaining more detailed information regarding the operation of process equipment by applying signal analysis techniques to conventional process cadences has, hitherto, been full-sizely overlooked. This is because the principal purpose of the majority of process measurement remainss is to succeed a smooth signal for process control purposes. Therefore most process measurement dusts are designed to produce a steady output signal, which is achieved by restricting the frequency solution of the measurement system and thereby suppressing the noise component. 1Signal transients are generally characterised by a before long du ration in time as compared to the observation interval. Research has shown that very important measurement information is often associated with the transients 1,2. For example the shudder signals generated on a cogwheelbox, the transients usually correspond to the local fault of the gear teeth, such as deformation, breakage and fracture. Thus analysing the transients of gearbox vibrations is useful for representing the characteristics of the gearbox health. However, it is not an easy task because the vibration measurements often carry heavy noise in the working environment, which could bury the essential vibration information of gears. Therefore, it is important and necessary to detect the transients with the machine health information in the very minuscule signal-to-noise ratio conditions 3,4.1.2. Previous WorkThis section contains information about the previous work that has been carried out with regards to condition monitoring and signal processing techniques. It withal provi des an outline of the different in advance(p) signal processing techniques used by investigateers to identify faults with various machine components.1.2.1 Machine toolA machine trouble system was developed at Cardiff University as a part of the MIRAM witness (Machine Management for Increasing Reliability, handiness and Maintainability) that provides rapid fault diagnosis and allows the implementation of a predictive maintenance strategy 4. This was used to plagiarize data from the machine components by the sensors wedded to it. The data processing methods implemented in the system allowed the image of normal and faulty behaviour of the machine component under investigation.An analysis has demonstrated the application of vibration monitoring utilise signal processing techniques such as Skewness, Standard deviation, RMS (Root Mean Square) and Kurtosis on the spike system of machine tools. The results obtained from a signal after implementing kurtosis as a signal processing t echnique show a relatively high kurtosis value compared to other signals, which indicates a fault, associated with the pergola system. This analysis similarly describes the variations in the transients obtained from the coolant system of the machine tool. 5Water treatment plantThe research work conducted by a PhD student on the WRAP (Water Resources and work Programme) test rig set-up at Cardiff University focuses on analysing the hightail it, military press and mettle speed request characteristics with respect to blockages induced on different valves. This analysis also studies the performance of the plant in relation to any leakages occurring in the system.Another analysis, which studies the performance of the same water filtration plant considers incentive 25 %, 50%, 75 % and 100 % blockages on the valves pre and post the pump. A fault dictionary created victimisation a mathematical model approach was used to differentiate between the pre and post pump blockages and their distributor point of severities. 6Use of modern signal processing techniquesA review of modern signal processing techniques relevant to the analysis of signals whose frequency content is non-stationary has been studied in (R. Burnett, J.F. Watson*, S. Elder) 7. Techniques like FFT (Fast Fourier Transform), STFT (Short-Time Fourier Transform) and Spectrogram have been discussed and compared using both test and actual data. Results are presented which identify the technique most appropriate for the task of fault maculation in machine components under transient conditions 7. A continuous wavelet transform (CWT) technique used for fault signal diagnosis in an internal combustion engine and its coolant system by using vibration signals has been studied by Wu Chen (2005) 8. The advantages of using this technique for the characterization of transitory features of non-stationary signals have also been identified.Another journal contains a detailed study of the raw data obtained from phy sical machine parameters. It reviews the implementation of various modern signal processing and analysis techniques in time and frequency domain. Analysing signals in time domain for an initial analysis does not necessarily provide meaningful information due to background noise but transforming the signals into frequency domain provides detailed information. Further analysis shows how the vibration harmonics are joined to the identification of different types of machine faults. The harmonics inwardly the signal categorising a component as faulty can be compared with the amplitude of those corresponding to components in a healthy condition to identify machines condition. 9Aims of the projectThe aims of the project are enumerated belowStudy the characteristics and relevance of different modern signal processing techniques for the task of proterozoic fault detection in industrial machine components.Apply these modern signal processing techniques using Matlab to an archive of machine tool and water treatment plant signals obtained from the data acquisition system (DAS) and from a knowledge manoeuvre program (KTP).Analyse these Matlab processed signals and identify the characteristics of the signal indicating a normal or faulty behaviour of the component under analysis.Chapter 2 Applications / Systems under studyWadkin V4-6 FMCThe Wadkin vertical machining centre was designed as a flexible manufacturing cell to perform operations on lilliputian to medium surface components. It comprises a fixed base, a single column, three axes of movements, an automatic tool changer, eight pallet consignment stations and pallet transporter. Figure 2 shows a schematic of the machine tool centre.The Y-axis of the machine is organize by 4 hardened and ground steel slide-ways, which are fixed to the cast iron base of the machine. A table, which slides on low-friction strips can be moved to the left or right to form the X axis, by a beat back. The Z-axis of the machine is for med by a cast iron column, which is bolted to the rear and stop number surface of the base. This axis is moved and controlled in the same way as the X and Y axes.The wit of the machine comprises the tool spike heel, which is driven via a pair of pulleys, a sing and an electric motor. A tacho-generator addicted to the motor is used to control the capitulum speed. An encoder driven by a belt around the ear is used to control the arbor position and orientation. Inside the spindle is a draw-bar with a spring (a locoweed of Belleville wakeers), which holds a tool in the spindle. A tool can be ejected from the spindle by energizing a hydraulic cylinder above the spindle.This machining centre also consists of a tool transfer system and a 150 tool store is located to the right of the machine cell. The tool comprises 5 disks, attached to a vertical shaft, from which 30 tools can be hung. This shaft can be indexed to present a tool on each of the disk to the tool and horizontally b etween the spindle and the disks. On this machine is a pair of grippers, which holds a tool when being transport between the tool store and the spindle. 112.1.1 Wadkin V4-6 Coolant systemCoolant systems are used in various application to pump liquids to cool and lubricate work pieces and gaffe tools. The main objectives of the coolant system used for this application were to-Prevent tool, work piece and machine components over heating. plus tool life by reducing cutting forces.Improve surface finishHelp establish swarf from the cutting areaThe cutter coolant system as shown in the schematic plat Figure 1, comprises of both reservoirs each having a capacity of 39 litres located at either side of the machine base. The motor driven pump is controlled by means of a switch on the pendant control board and can be switched off if coolant is not required for particular operations. The coolant pump motor on this machine cannot be switched on or off by means of programmed commands. Coola nt is pumped via solenoid turnd valves and a manually operated come down control/shut-off valve to the coolant outlets at the spindle nose.With the coolant pump motor running, coolant is turned on or off by SOV12 (flood coolant) and SOV51 (inducer coolant) which are energised or de-energised by programmed demands. Coolant precipitate is manually regulated by means of the flow control/shut-off tap located on the machine guard. Used cutter coolant drains back to the reservoirs where wire-mesh strainers prevent the ingress of large particles of swarf. A replaceable wire gauze filter is fitted to the pump inlet.The electrical system required to operate the pump motor and the devil solenoids operated flow control valves comprises of three relays activated by command from the controller. These consort the flow control valve solenoids to the 110V AC supply and the pump motor to the 415V AC three phase supply.2.1.2 Coolant systems component specificationsTable 1 Wadkin V4/6 Coolant sys tems component specificationsLabel as on diagramComponent explanation1Reservoir2 tanks each of 39 litres capacity. Grating prevents ingress of large swarf2 drivelWire gauze filter attached to pump inlet3Pump / Motor graham Precision pump, CPP 76. 3 phase AC motor, 2900 rpm, 1.1kw. Pump single stage peripheral impeller type. Maximum flow rate 11.6 lit/min.4Pressure relief valveMechanical operated set at 4.8*105 N/m25Manual shut-off tapManual tap6 go down control valvesSolenoid operatedReason for analysing coolant pump signalsA large amount of data obtained from the Wadkin machine tool has already been grouped and processed into various charts and histograms for the ease of the analysis in previous research. The aim was to facilitate the research into machine tool condition monitoring system. Among the 160 recorded failures between a certain time period of time, 84% fall within 18 pre-classified machine locations. Among these recorded failures coolant system being one of the 18 locat ions, ranks no. 3 in the failure frequency by machine location histogram 10. Therefore applying modern signal processing techniques to these particular signals was considered to be a good approach to identify any faults within the component.Device(s) for acquiring signalsThe raw data extracted from the coolant system were the pressure and flow signals. These signals were acquired by using flow and pressure transducers connected to the system and a data acquisition system was used to store these signals in a database for further analysis. The Kobold flow meters and switches types VKM have a spring-loaded float, which slides within a cylindrical measuring supply and has an integral orifice. This type of flow meter is a low cost flow meter and switch, which full compensates for viscosity and to large extent for density even with very low flows.Wadkin V4/6 Spindle systemHe hardened steel spindle is supported in the head casting by two pairs of pre-loaded angular contact bearings. The spindle is driven by a D.C. electric motor via fixed pulleys and a wide poly-vee belt, and has a speed strand of 40-5000 rev / min. Figure 3 shows the schematic diagram of the spindle drive system. The analyses and modelling of this is very similar to the feed drive mechanism, however it does not include any linear movement and is subjected to a distributing torque proportional to cutting force components. 12 The spindle, which is fastened into the head of the machine tool, is shown in figure 9.1. It has two bearings at both the top and bottom of the shaft, together with seals to retain the foulness either side of each set of bearings. On the top of the spindle is a pulley, which is driven via poly-vee belt ad a pulley attached to the spindle motor, which is shown in figure 9.2.To measure the speed of the spindle and its orientation at low speeds, an incremental encoder is positioned towards the side of the spindle. This is driven from a pulley fixed to the spindle, jaggy belt an d a pulley attached to the encoder as shown in figure 9.3. In figure 9.4 and explode view of the drawbar, which is fitted into the spindle, is shown. It uses a stack of Billeville washers, which are used to draw a tool into the spindles taper.Reason for analysing spindle vibration signalsThe bearings in the spindle system can fail fue to overload, misalignment, insufficient lubrication and assembly defects. Condition monitoring of these bearing is therefore very critical to the machining process.Spindle systems component specificationDevice(s) for acquiring signalsThe vibrations from main spindle bearings were measured by using two accelerometers mounted on the head of the machine tool as shown in figure 4. Two ENDEVCO model 5216-100 series piezoelectric accelerometers were used, which are designed specifically for vibration measurement in rugged environments of industrial machinery. These type of accelerometers have very wide dynamic range and an extremely low noise floor. 12Data A cquisition System (DAS)A flexible and generically applicable data acquisition system has been developed at Cardiff University for the machine tool condition monitoring. This system can be viewed as a data logger associated to one or more sensors. Its flexibility allows the accompaniment of any data logging software, hardware or sensor(s) to be linked for the analysis of different machine components when required. The DAS is controlled by a relational database management system (DBMS). The DMBS provides a user interface to coiffure the details of the condition monitoring tests to be performed 13.2.2 Water treatment plant (WRAP rig)2.2.1 BackgroundThe WRAP (Water and Resources Action Program) rig is a test rig set-up at Cardiff University used for research purposes. It is housed in a small container for it to be transported easily to plants or sites for demonstration purposes. The rig is designed to allow a direct performance comparison between two different types of filtration medi a. This rig was specifically used to demonstrate the performance of Recycled glaze over Media (RGM) compared to the conventional filtration media such as sand. In previous research this rig has been used to process wash down water from a dairy production line while its sister rigs were used for different applications such as the removal of bio fouling and other wastes. The figure below shows the WRAP rig along with the separate constituents that make up the rig.Functionality of the rigThis explanation of the rig is based on the detailed piping and orchestration diagram of the rig shown in figure x. The rig consists of four 6-staged impeller centrifugal pumps P1, P2, P3 and P4 as indicated in the diagram with P1 being disconnected as there was no foreign open reservoir in operation. Pumps P2 and P3 transfer unprocessed liquor to filters F1 and F2 from tank T1. This relationship / process can be altered using valves V8, V9 and V10 for practicable flexibility if required.The two p neumatically actuated diaphragm valves V5A and V5B, which are controlled by the programmable logic controller (PLC) enables the flow to be selected from either the unprocessed effluent stream entering F1 or F2. The PID (Proportional Integral Derivative) grummet also maintains the flow rate into each filter at a pre-programmed set point. The flow transmitters FT1 and FT2 were controlled to provide a 0-10V output to the invertors, which controlled pumps P2 and P3. This was achieved via the PID loop algorithm in the PLC.The analysis of this report only studies a small part of the WRAP rig, which is shown in figure x below. Two Cylon UC32.24 PLCs networked using a trademarked serial protocol controlled the system. These in turn were networked to a communications module, which contained a GSM modem and features two RS232 ports for connection to external devices. Chemwatch, Cylons proprietary SCADA system was used for three original operation of the rig. The system was configured to dis play two process mimic screens that showed real time values of the various sensor readings. A number of scare and control screens were also present allowing a privileged operator to alter alarm thresholds, control parameters and manually override system components such as pumps.WRAP rig system componentsPump P3Data acquisition system (KTP)Ball valves Flow transmitters