Maintenance bearings pdf

Always heat the bearings using induction heaters, and never with an open flame. Specialized tools like bearing pullers, bearing fitting tool kits, oil injector kits, hydraulic nuts, or induction heaters should be used in the mounting and dismounting processes.

These tools ensure the smooth process of mounting or dismounting, in order to minimize the risk of damage. It is crucial that you should not expose bearings to the presence of water for a long time, as it will lead to rust and corrosion. It will also cause the premature failure of the bearings, which can affect the machine performance and productivity. As a result, it will increase your operating costs.

Also, make sure to wear gloves when handling bearings. Perspiration can also lead to rust and corrosion. If you want to have a prolonged life of your bearings, it is crucial that they should be properly lubricated. The correct lubricant depends on the environmental conditions, temperature, speed and load.

Nancy Ross is with Bearing Boys Ltd. Mechanical Seven tips for proper bearing maintenance Bearings are important mechanical components that help in maintaining the liner and rotational movements of a machine and it is important they are maintained properly to ensure long operational life.

August 17, Here are seven tips for bearing maintenance to help ensure a longer lifespan. Uni-Craft Corp. Cementex Products, Inc. Shining Jins Enterprise Co. Elesa UK Ltd. By using this website, you agree to our use of cookies. This may include personalization of content and ads, and traffic analytics. Review our Privacy Policy for more information. Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website.

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You also have the option to opt-out of these cookies. Predictive maintenance provides a detailed check to detect the location and diagnose errors in a machine using various analyses G. Sang et al. The development of technology nowadays is marked by the industrial revolution 4. The system of the industrial revolution 4.

One way to reduce the cost of production used techniques of big data Big data and IoT technology play important roles in developingthe data-oriented application like predictive maintenance Sahal et al. The success of industrial revolution 4. By following the trend of industry 4. To develop such a smart system, semantic technology is required Martinov et al. That the maintenance is very important for manufacturing industries was proven by a recent discussion about the national industrialization agenda.

Digitalization, the Internet of Things IoT , and their connection with sustainable production are identified as the main factors that can increase the production. Generally, periodic supervision is carried out in a particular interval like in every hour or at the end of each working shift using portable indicators like handheld measurement instruments, acoustic emission units, and vibrations.

In this study, the benefit of the predictive maintenance method achieved by the current technology is the automatization system of a machine. The system of predictive maintenance produces a big number of data, and as they are stored in the raw format, it is potential to emerge various problems. After analyzing the data, they will be deleted from the memory, and when there is a problem, they will be shown to the users through a screen.

Through this way, the users can be assisted with the complexity by filtering the data to access as they need. At the end of this study, the efficiency of engine speed increased due to the application of industry 4. Vibration is measured in the domain of time then converted to the domain of frequency using a frequency analyzer like a mathematic algorithm known as Fast Fourier Transform FFT. In the context of industry 4. Earlier studies about vibration used various methods like Identification of nonlinearity using the Frequency Response Function FRF method and analysis using wavelet packet decomposition Subekti et al.

While the application of bump test to identify damage on sigra disc brake Subekti et al. Therefore, this paper aims to explain the preventive maintenance to deal with industry 4. Friendly IoT will bring a significant effect on the economy and business because it boosts innovation and productivity. On the other hand, the rapid adoption of IoT emerges new challenges related to connectivity, security, data process, and scalability Firouzi et al.

The sensor of vibration is an important part ofthe Internet of Things IoT and supported by rapidly developed technology, it increases the accuracy of measurement and reduces the hardware cost. Physically, vibration sensory is attached to the core tools in control and manufacture systems Jung et al. The industrial machinery is comprehensively monitored using battery-powered IoT sensing devices, thus enabling the development of sophisticated predictive maintenance applications under-considered scenarios Civerchia et al.

Recently, there has been advancement in technologies of IoT and application in the target maintained areas. However, IoT maintenance application has not been widely spread in Japan because sensing and analysis solutions are one-time for each case, the cost of sensing data collection is high and the maintenance automation is insufficient.

IoT platform well supports predictive maintenance because it can integrate information from many machines and manufacturing systems. In this paper, we used the concept of IoT based on an earlier study using the FRF test method to investigate the dynamic character of a mechanic structure in identifying damage on x, y, and z axes of tapered bearing with harmonic vibration from handphones[18]. Considering that most of the communication protocols are not implemented in industrial wares, one of the quick solutions is the use of Arduino as the translator between the industrial machine and IoT platform Figure 1.

Figure 1. IoT design for preventive maintenance In this study, we would identify damage at taper bearingby identifying theFrequency Response Function FRF obtained from the comparison of analysis result using FFT Analyzer by connecting the Arduino to the Labview.

Excitation force was given to taper bearing in the form of a harmonic signal from a handphone that was then used as a vibration analyzer. The harmonic signal was given to bearing surface in vertical and perpendicular directions to the surface of the tapered pad. Figure 2. Photo of measurement frequency response function Subekti, S.

Figure 3. This harmonic signal gave an excitation force to the taper bearing, and then the response was measured in three axes x, y, and z. The measurement was carried out at taper bearing with or without bearing housing by comparing the result of measurements using the FFT analyzer and Arduino.

Figures 5 and 6 show one of the results of FRF measurements without bearing on X-axis. Figure 4. The excitation force in the form of a harmonic signal Figure 5. For more detailed information about the difference of natural frequencies happening in both measurement methods, the logarithm is illustrated in Figure 6. It can be seen that there is a difference between the frequencies in both measurement methods.

The most noticeable difference is that in measurement using Labview via Arduino, there is noise. Subekti, S. Figure 7. Figure 9. Measurement using Labview via Arduino showed noise as in the logarithmic graph in Figure After that, we carried out this study using a taper house under damaged condition by comparing the results of measurements using FFT analysis and Labview via Arduino.

Figure 11 shows the results of FRF measurement at the x-axis using both measurement methods. Logarithmic FFT on the Z-axis For a more detailed about the difference of natural frequencies between both measurement methods is shown in the logarithmic graph Figure It can be seen that frequencies shown by both measurement methods had a significant difference.

In this case, measurement using Labview via arduinoshows noise. Figure While the measurement using Labview via Arduino identified fewer natural frequencies which were 59 Hz, Hz, and Hz. Both measurements did not show a difference in frequencies.

In both measurements, it showed a similar frequency at Hz. The FRF measurement on the Z-axis To achieve the goal of the study about preventive maintenance in industry 4. The FRF measurement While in broken condition, there were two times movements from the natural frequencies in good condition. Figure 14 shows the logarithmic of good and broken tape bearings. Under the broken condition, it can be seen the frequency movement.