Fault diagnosis and resolution measures in maintenance of mechanical and electrical equipment
Summary: with rapid advances in industrial technology, the area of use of mechanical and electrical equipment has been significantly expanded. However, the stability of the operation of these equipments is directly related to the economic benefits of industrial enterprises. In view of this, industrial enterprises need to deepen their research and find effective ways of addressing mechanical and electrical equipment failure, seeking to reduce the frequency of failure and to ensure the stability and safety of the operation of the equipment, thus contributing to the continued healthy development of the enterprise. This paper focuses on analysis and exploration of failure diagnosis and resolution measures in the maintenance of mechanical and electrical equipment。
Keys: mechanical and electrical equipment; failure diagnosis; measures to address
The efficiency of the operation of mechanical equipment and electrical facilities has been greatly enhanced as automation, intelligence and intensive technologies have advanced into industrial manufacturing. The proliferation of mechanical equipment and electrical facilities in industrial production has made them central drivers of industrial economic growth. The technological upgrading of mechanical equipment and electrical facilities has resulted in the integration of numerous electronic components and computer systems, which are large, complex and often under poor working conditions and inevitably run multiple downtime risks. Not only do these failures manifest themselves in a variety of ways, but they are also becoming increasingly complex, making it increasingly difficult to deal with emergencies. In the event of malfunctioning of mechanical and electrical equipment, how to respond effectively, ensure the safe operation of the system and reduce the incidence of safety incidents have become key to improving productivity。
1. Common malfunctions in mechanical and electrical equipment
1. 1 component burned down
Man-made factors: the failure of operators to comply strictly with the operating procedures for the use of electromechanical facilities, or to perform overload operations due to persistent overloading, or to overloading of electrical circuits, which leads to failure to burn components; combined with the volatile environment in which the electromechanical facilities operate, such as high temperature environments or excess surface area of equipment ash, reduces the heat dissipation efficiency, which may lead to an ageing of the insulation layer, resulting in local short circuits and eventual destruction of components. Natural factors: lack of adequate protection from out-of-door use of some electro-electric facilities, especially in severe weather conditions such as thunderstorms, which may be affected by rain or thunderstorms, resulting in problems such as overloading or short-circuiting of electricity and burning of components。
1. 2 switch failure
As an indispensable component of mechanical and electrical systems, switches perform key roles in regulating the working state of the equipment. If the switch fails, it will have a serious impact on the operation of the system as a whole, which may result in the failure of the start-up and decontrol of the equipment, thereby affecting its proper functioning. After a series of studies and analyses, the failure of switches is usually due to unstable contact at the point of contact. This may result in increased currents, localized overheating and eventually damage to points of contact, resulting in short circuits. In addition, the switch, which may result in the carbonation of components in a long, high-temperature working environment, can also cause short-circuit failure and lead to protective equipment jumps that disrupt its smooth operation。
Diagnosis of failures in maintenance of mechanical and electrical equipment
2. 1 construction of a failure diagnostic model
In the day-to-day operation of machinery and electrical equipment, vibrating information of various types leading to equipment failure is frequently monitored, and these vibrating information usually displays significant heterogeneity in distribution patterns compared to the normal training vibration data. Staff engaged in the detection and maintenance of mechanical and electrical equipment failure must construct a targeted data model based on the actual working conditions of the equipment and the uniqueness of the vibration information to ensure that the vibration data are effectively adapted to the various conditions of the failure diagnosis。
2. 2 categorize vibration signals
A function expression in the time domain is used to effectively classify vibration information generated by machines and electrical equipment during their operation and to distinguish faulty vibrations from non-facility vibrations in detailed areas. This makes it possible to identify whether the failure signal is occasional or known to be specific. Using the instant hour value of the vibration of mechanical and electrical equipment as the starting point for the analysis, selects a specific point of time and defines the characteristic of the definitive vibration, which is the basis for the determination of the vibration cycle that follows the change in the sine function, as a means of diagnosing the failure of mechanical and electrical equipment by vibration waveforms. The type of vibrating signal is identified by analysing data on pacing and velocity changes, and various sensors are used to capture fault signals in the operation of the equipment。
2. 3 decomposition device vibration signal
In order to ensure the accuracy of the vibration signal resolution of mechanical equipment and electrical systems, maintenance and repair personnel are required to develop a comprehensive failure detection model and to collect advanced positive physical data signals in case of equipment failure. Time-based, time-based application of the collected time-area information on the vibration data of mechanical and electrical equipment to the failure detection process. By analysing and processing the time-area of vibration signals and eventually acquiring the time-area wave-form map of a malfunction signal, and by observing the wave-form characterization, the pulse-harmonic wave changes of a wave-shaped signal can be identified with precision, thus effectively identifying the resonance of the equipment, thus increasing the accuracy of detection of mechanical electrical equipment failure. In the maintenance management of mechanical and electrical equipment, since there are differences in signal waveform characteristics arising from different malfunctions, maintenance repair staff are required to interpret the vibration signal frequency using the appropriate algorithms for possible anomalies in the operation of the equipment in order to accurately determine equipment failure and provide reliable data support for subsequent maintenance operations。
2. 4 treatment of diagnostic entropy
Anatomy of the vibration signals of the electromechanical equipment using time-space resolution techniques, and maintenance of the ability of engineers to screen and label fault samples of the electromechanical equipment on the basis of the disassembly function and its decay properties. Information entropy plays a crucial role in the diagnosis of failure due to the instability of malfunctions in electromechanical equipment. Generally, the information on electromechanical equipment varies significantly, which has a significant positive effect on improving the accuracy of failure diagnosis. Therefore, maintenance engineers must adhere to the criteria for failure diagnosis and accurately calculate the average density and local density of the various vibration signals in order to achieve the objective of reducing the average density of samples. By combing and analysing data for maintenance equipment, removing active learning samples from maintenance models, constructing abnormality constant indicators for failure signals, and completing the screening of samples of failure diagnosis information based on a comprehensive consideration of wave-shaped characteristics of failure vibration signals, thereby mitigating the impact of information uncertainty on the accuracy of failure diagnosis results。
3. Measures to optimize maintenance of mechanical and electrical equipment
3. 1 enhancement of regular maintenance of mechanical equipment
In order to ensure the continuous and stable operation of machinery and electrical equipment during their long-term use, the implementation of periodic overhaul and maintenance measures is essential to ensure the safety and stability of the equipment. In carrying out the routine overhaul and maintenance tasks of the equipment, the technicians are required first to perform a detailed analysis of the condition of the equipment. Once an anomaly in the operation of the equipment has been detected, a debugging procedure must be initiated immediately and continuously adjusted until the equipment is restored to its normal state of operation, in order to prevent more serious economic damage due to the presence of equipment. First, the effects of inappropriate ambient temperatures or excessive dust on the safe operation of the equipment can be prevented by periodic overhaul and maintenance of the equipment. By effectively controlling the temperature of the environment and regularly cleaning up the surrounding environment of the equipment, it is possible to bring more economic benefits to the enterprise while improving the safety and reliability of the operation of the equipment. In addition, during regular maintenance repairs, maintenance personnel are required to perform detailed inspections of the various components of the equipment in order to identify and eliminate potential hazards in a timely manner, thereby reducing equipment wear and tear and reducing the probability of safety incidents。
3. 2 lubricating
One of the core components of the operation of mechanical and electronic equipment is the moving system, which is subject to wear and tear over a long period of time and therefore requires adequate lubrication operations, especially for moving components under high-temperature conditions. Upon completion of each round operation, the high-temperature combination bearings must be supplemented with lubricant oil, while during the cable installation phase, the cable interfaces are protected by high-intensity glue bands in order to prevent short-circuit accidents resulting from cable wire damage and ensure the integrity of the equipment. Manual lubrication is usually used in the maintenance of equipment, with specialized refuelling guns used for the lubrication of components with smaller loads. The drip lubrication method is often carried out with the help of drip-diggers, with a simple structure and easy to operate, but the refuelling volume is not easy to control evenly, and external factors such as mechanical equipment vibrations and ambient temperature may interfere with drip effects. Spray lubrication is suitable for use in closed gear tanks and bearings, and not too fast to generate too much foam. The oilline lubrication method, which is immersed in the fluid and uses the cavity to deliver lubricants, is common in medium- and low-rotation transmission devices。
In general, in the area of industrial manufacturing, there has been a marked leap forward in output efficiency and product quality of enterprises as demand for machinery and electrical facilities has risen. Therefore, in the day-to-day operation of the enterprise, it is important to explore and study in depth how technological innovations can be applied in the maintenance management of mechanical and electrical facilities and in the troubleshooting, and how new paths can be found. The development of a solid foundation for the long-term stable development of the enterprise will be supported by cutting-edge data analysis techniques to improve the accuracy of failure detection and the construction of an efficient and rational facility failure recovery strategy。
Reference
Liu jiaxuan, zhang chi. Optimization of technology for automated debugging of mechanical and electrical equipment. China equipment project, 2024, (11): 211-213.
Fault diagnosis and resolution measures in the maintenance of mechanical and electrical equipment. Models, 2024, 24(05): 243-245.
Li chi, zhang fanghui, wang jia jin. Research on the maintenance and effective management of mechanical and electrical works. China equipment project, 2023 (22): 68-70.
- that's it
