Blast furnace radar state on-line monitoring and fault diagnosis system

Abstract

The invention discloses a blast furnace radar state online monitoring and fault diagnosis system. The system comprises a blast furnace radar, a distribution box and an online monitoring module, the distribution box provides a power supply for the blast furnace radar through a power supply loop, and the online monitoring module measures electrical parameters of the power supply loop and equipment parameters of radar equipment in real time and generates diagnosis information. The on-line monitoring module comprises a power supply module, a data transmission module, an electrical parameter acquisition module, an equipment parameter acquisition module, a digital-to-analog conversion module, a fault diagnosis module and a control module. Radar state parameters are obtained through the electrical parameter and equipment parameter acquisition module, maintenance signals or fault signals are output through the fault diagnosis module, diagnosis information is generated through the control module, and online monitoring and fault diagnosis of the blast furnace radar are achieved.

Description

Technical Field

[0001] The present invention relates to the field of automatic monitoring, and in particular to an online monitoring and fault diagnosis system for a blast furnace radar state in a steel plant. Background Art

[0002] In recent years, radar has been widely used to measure material surface information in industrial high-temperature environments. Radar can accurately describe the height of each point on the discharge surface even in harsh working conditions such as darkness, high temperature, and high dust. This truly reflects the shape of the material surface in high-temperature areas and enables visualization of material surface information within the furnace. Blast furnace radar plays a vital role in steelmaking. Blast furnace radar operation and maintenance, depending on the method and technology used, can be categorized into three types: post-fault maintenance, preventive maintenance, and predictive maintenance.

[0003] (1) Post-fault maintenance. Post-fault maintenance is a common maintenance method. During the use of the blast furnace radar, if the radar's own echo signal or mechanical rotation fails, the blast furnace radar will be unable to complete the established material surface measurement task, affecting the blast furnace material distribution production process. In serious cases, it will cause the entire steel smelting process to be obstructed, resulting in production accidents. At this time, maintenance is often temporary, unprepared, unpredictable and urgent. This is an unplanned random maintenance method, which repairs or replaces equipment according to the fault condition of the blast furnace radar. The main characteristics are: random fault time, huge fault impact, insufficient maintenance preparation, and increased maintenance production costs.

[0004] (2) Preventive maintenance. Preventive maintenance is also a relatively common maintenance method. It is a unified plan for minor repairs, medium repairs and major repairs for certain equipment in the factory. Based on the previous production process and the experience of on-site staff, the blast furnace radar is periodically maintained in a planned manner to prevent equipment failures of the blast furnace radar, which can effectively reduce the failure rate of the radar. Preventive maintenance can maintain equipment in a planned manner and reduce the failure rate, which is a major improvement. However, the disadvantages are also very obvious. Due to the lack of digital information of the blast furnace radar used on site, the maintenance of the blast furnace radar is blind, and the phenomenon of over-maintenance is inevitable. Some radars that are working normally are within the scope of maintenance, while some radars that have already failed are still in use. The main characteristics are: planned maintenance, insufficient equipment information, blind maintenance methods, and increased maintenance costs.

[0005] (3) Predictive maintenance. Predictive maintenance is the inevitable path for future equipment maintenance. Predictive maintenance systems use intelligent condition monitoring sensors as data loggers to collect and preprocess data within the equipment, identify wear patterns, and provide more accurate methods to predict failures. Predictive models include statistical monitoring, computer networks, etc. Predictive maintenance is different from traditional maintenance methods. It can predict failures before the equipment fails, accurately identify the cause of the failure, and reduce equipment maintenance costs. The main features are: forward-looking prediction, precise maintenance, and reduced maintenance costs.

[0006] Currently, the maintenance methods adopted by blast furnace radars are mainly the first two. For predictive maintenance, real-time monitoring of the radar equipment status during blast furnace operation and predicting radar failures are crucial for subsequent predictive maintenance.

[0007] Currently, the radar monitoring system inside the steel plant only analyzes the material surface signal returned by the radar. When there are obvious errors in the material surface information or the equipment cannot work normally, the staff can determine that there is a problem with the radar system. Other equipment parameters during the radar operation process are not collected and analyzed.

[0008] The operation and maintenance in the existing technology mainly has the following defects:

[0009] (1) Maintenance mainly remains in post-failure maintenance and preventive maintenance, and maintenance methods are backward;

[0010] (2) The lack of equipment information of blast furnace radar results in poor fault recognition rate, high misidentification rate, and blind equipment maintenance;

[0011] (3) The degree of automation is low, and fault diagnosis relies on manual judgment, which leads to subjectivity and lag in fault identification. Summary of the Invention

[0012] The technical problem to be solved by the present invention is to provide an improved blast furnace radar status online monitoring and fault diagnosis system in response to the above defects, so as to solve the problems of backward system maintenance means and lack of blast furnace radar equipment information, and also solve the problem of low degree of automation.

[0013] The technical solution adopted by the present invention to solve its technical problem is: to provide a blast furnace radar state online monitoring and fault diagnosis system, comprising a blast furnace radar, a distribution box connected to the blast furnace radar, and an online monitoring module connected to the distribution box and the blast furnace radar, wherein the distribution box provides power to the blast furnace radar through a power circuit, and the online monitoring module measures the electrical parameters of the power circuit and the state parameters of the blast furnace radar in real time; wherein the online monitoring module comprises:

[0014] Power supply module, used to provide power.

[0015] The data transmission module is connected to the distribution box and the blast furnace radar and is used for signal transmission.

[0016] An electrical parameter acquisition module is connected to the data transmission module, and is used to monitor the electrical parameters of the power supply circuit in real time and generate an electrical parameter signal. The radar status parameter includes the electrical parameter signal.

[0017] The equipment parameter acquisition module is connected to the data transmission module and is used to monitor the equipment parameters of the blast furnace radar in real time and generate an equipment parameter signal. The radar status parameter includes the equipment parameter signal.

[0018] A digital-to-analog conversion module is connected to the electrical parameter acquisition module and the state parameter acquisition module. The digital-to-analog conversion module is used to perform digital-to-analog conversion on the electrical parameter signal and the device parameter signal. The radar state parameter includes the electrical parameter signal and the device parameter signal.

[0019] The fault diagnosis module is connected to the digital-to-analog conversion module, and is used to receive radar status parameters and determine whether the radar status parameters exceed a maintenance threshold or a safety threshold based on the radar status parameters. If the maintenance threshold is exceeded, a radar maintenance signal is output; if the safety threshold is exceeded, a radar fault signal is output. By setting a dual threshold for the radar, the three states of the blast furnace radar can be effectively distinguished: no fault has occurred, a fault is about to occur, and a fault has occurred.

[0020] Preferably, the fault diagnosis module includes a radar echo abnormality diagnosis module, which is used to determine whether the radar echo signal strength reaches a maintenance threshold or a safety threshold, and selectively output a radar strength maintenance or radar abnormality echo signal; the radar status parameter includes the radar echo signal strength signal.

[0021] Preferably, the fault diagnosis module includes an Ethernet cable breakage diagnosis module, which is used to determine whether the packet loss rate of the radar's industrial Ethernet transmission signal exceeds a maintenance threshold or a safety threshold, and selectively output an Ethernet maintenance or Ethernet cable breakage signal; the radar status parameter includes the industrial Ethernet packet loss rate signal.

[0022] Preferably, the fault diagnosis module includes a radar stuck diagnosis module, which is used to determine whether the torque signal reaches the torque threshold but the tilt parameter returned by the radar tilt sensor does not reach the maintenance threshold or safety threshold of the tilt angle, and selectively outputs a radar stuck maintenance signal or a radar stuck fault signal; the radar status parameters include the torque signal and the tilt sensor parameter signal.

[0023] Preferably, the fault diagnosis module includes a radar horn shedding diagnosis module, which is used to determine whether the torque signal reaches the torque threshold, but the parameters returned by the tilt sensor appear outside the maintenance threshold or the safety threshold, and selectively output a radar horn maintenance or radar horn shedding signal; the radar status parameters include the torque parameters and the tilt sensor parameters.

[0024] Preferably, the fault diagnosis module includes a temperature anomaly diagnosis module, which is used to determine whether the temperature signal transmitted by the temperature sensor exceeds a temperature threshold and selectively output the abnormal temperature signal; the radar status parameter includes the temperature signal of the temperature sensor.

[0025] Preferably, the fault diagnosis module includes an electrical fault diagnosis module, which is used to determine whether the voltage and current of the power supply circuit are within the threshold of normal device operation and selectively output an electrical fault signal, and the radar status parameters include voltage and current abnormality signals. Preferably, the blast furnace radar status online monitoring and fault diagnosis system also includes a control module, which includes a patrol module, which is used to cyclically detect the radar status parameters output by the fault diagnosis module and output the radar fault type based on the radar status parameters.

[0026] Preferably, the blast furnace radar status online monitoring and fault diagnosis system also includes a control module, the control module includes a patrol module, the patrol module is connected to the above-mentioned fault diagnosis module, the patrol module is used to cyclically detect the radar status parameters output by the fault diagnosis module, and judge the radar fault type or radar maintenance type according to the radar status parameters, and generate a fault judgment signal or a maintenance judgment signal.

[0027] Preferably, the control module includes an alarm module, which is connected to the inspection module and issues an alarm in time to remind staff to perform maintenance after receiving the fault judgment signal from the inspection module.

[0028] Preferably, the control module also includes a maintenance module, which is connected to the above-mentioned detection module. After receiving the maintenance judgment signal from the inspection module, the maintenance module sends a maintenance reminder to remind the staff that the equipment is about to fail and recommends predictive maintenance.

[0029] The beneficial effects of implementing the present invention are as follows: in the blast furnace radar status online monitoring and fault diagnosis system of the present invention, the fault diagnosis signal is identified by the fault diagnosis module, the blast furnace radar status parameters are periodically monitored by the inspection module, and a maintenance signal or a fault signal is sent after judgment, so that the blast furnace radar can be accurately maintained and the maintenance cost can be reduced.

[0030] This paper focuses on typical faults of blast furnace radars and conducts in-depth research on blast furnace radar fault modes, fault characteristics, parameter measurement, blast furnace radar fault feature matching and fault state identification. It develops a blast furnace radar state online monitoring and fault diagnosis system with independent intellectual property rights, constructs a knowledge base, method library and tool library for blast furnace radar fault diagnosis, and improves the reliability and stability of blast furnace radar operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0032] Figure 1 1 is a schematic diagram of the principle of a blast furnace radar status online monitoring and fault diagnosis system according to an embodiment of the present invention;

[0033] Figure 2 is an original schematic diagram of a fault diagnosis module in an embodiment of the present invention;

[0034] Figure 3 Schematic diagram of the principle of a blast furnace radar online monitoring and fault diagnosis system in other embodiments of the present invention;

[0035] Figure 4 This is a workflow diagram of the blast furnace radar status online monitoring and fault diagnosis system in an example of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the present invention clearer, the following will take a blast furnace site as an example and describe the implementation mode of the present invention in more detail with reference to the accompanying drawings.

[0037] Figure 1 The present invention shows an online monitoring and fault diagnosis system for blast furnace radar status in an example, which is used to monitor blast furnace radar status parameters online, collect blast furnace radar equipment parameters and electrical parameters of the power supply circuit in the distribution box, and solve the problem of lack of radar status parameters and fault diagnosis.

[0038] The large-scale online monitoring and fault diagnosis system for blast furnaces in the embodiments of the present invention includes a blast furnace radar, a distribution box, and an online monitoring module. The distribution box is connected to the blast furnace radar and provides power to the radar via a power circuit. The online monitoring module is connected to the distribution box and the blast furnace radar and is used to monitor the blast furnace radar's equipment parameter signals and the electrical parameter signals of the power circuit in real time.

[0039] In an embodiment, the online monitoring module includes a power supply module, a data transmission module, an electrical parameter acquisition module, an equipment parameter acquisition module, a digital-to-analog conversion module, a fault diagnosis module and a control module.

[0040] The power supply module is used to provide power. It can be understood that the power supply module provides power for the online monitoring module. The power supply module can be in the form of common wired, battery, etc. There is no specific restriction here, as long as the power supply function can be realized.

[0041] The data transmission module is connected to the blast furnace radar and the distribution box and is used for signal transmission. It can be understood that the data transmission module can be in the form of common serial port, Ethernet, SPI, etc. There is no specific restriction here, as long as the data transmission function can be realized.

[0042] Combine Figure 1 As shown, the electrical parameter acquisition module and the data transmission module are connected. The electrical parameter acquisition module is used to monitor the electrical parameters of the power supply circuit in real time and generate electrical parameter signals. Radar status parameters include electrical parameters. The electrical parameters collected by the electrical parameter module include at least one of power supply current, voltage, power, and frequency. It is understood that the specific electrical parameters may also include other electrical-related parameters, which are not specifically limited here, as long as they can achieve the function of representing the power supply circuit status.

[0043] For example Figure 1 As shown, the device parameter acquisition module is connected to the data transmission module. The device parameter acquisition module is used to monitor the device parameters of the blast furnace radar in real time and to generate a device parameter signal. The radar status parameters include device parameters. The device parameters collected by the device parameter module include at least one of radar echo signal strength, radar temperature, radar rotation angle, radar signal transmission packet loss rate, and radar vibration frequency. It is understandable that the specific parameters in the device parameters may also include other radar device parameters. No specific restrictions are imposed here, as long as the function of characterizing the blast furnace radar device status can be achieved.

[0044] The digital-to-analog conversion module is connected to the electrical parameter acquisition module and the device parameter acquisition module. The signal module is used to convert the electrical parameter signals and the device parameter signals into digital-to-analog signals. It is understood that the digital-to-analog conversion module can be implemented using a digital chip acquisition or a digital-to-analog conversion chip. This is not a specific limitation, as long as it can achieve the conversion function of analog signals to digital signals.

[0045] The control module includes an inspection module, a maintenance module, and an alarm module. The inspection module is connected to the fault diagnosis module and is responsible for periodically monitoring radar status parameters. Based on these parameters, the inspection module determines the radar fault type or maintenance type, and generates a fault diagnosis signal or maintenance diagnosis signal. It is understood that the signals monitored by the inspection module include electrical fault parameters, signal communication fault parameters, temperature anomaly parameters, and echo signal anomaly parameters.

[0046] The alarm module is connected to the inspection module and selectively outputs an alarm signal based on the inspection results, prompting staff to promptly repair the blast furnace radar. It is understood that the alarm method includes warning lights, voice alarms, screen alarms, etc., and there is no specific limitation here, as long as the relevant functions can be achieved.

[0047] The maintenance module is connected to the inspection module and selectively outputs maintenance signals based on inspection results, alerting personnel to potential equipment failures and recommending predictive maintenance. Maintenance reminders can be delivered via text message, voice, or on-screen notifications, without specific limitations, as long as they can achieve the desired functionality.

[0048] Combine Figure 1-2 As shown, the fault diagnosis module is connected to the digital-to-analog conversion module, which is used to receive the blast furnace radar status signal and determine whether the blast furnace radar status parameters exceed the equipment maintenance threshold or safety threshold based on the blast furnace radar status parameters, and selectively output a maintenance signal or a fault signal. By setting dual thresholds for the radar, it can effectively distinguish between the three states of the blast furnace radar: no fault, impending fault, and actual fault. Maintenance reminders are issued when a fault is about to occur, and fault alarms are issued in a timely manner when a fault has already occurred.

[0049] In an embodiment, the fault diagnosis module includes a radar echo abnormality diagnosis module, an Ethernet cable damage diagnosis module, a radar jam diagnosis module, a radar horn detachment diagnosis module, a temperature abnormality diagnosis module and an electrical fault diagnosis module.

[0050] Among them, the radar echo abnormality diagnosis module is used to determine whether the radar echo signal strength reaches the maintenance threshold or safety threshold, and selectively output the radar strength maintenance or radar abnormal echo signal; the radar status parameter includes the radar echo signal strength signal.

[0051] The fault diagnosis module includes an Ethernet cable damage diagnosis module, which is used to determine whether the packet loss rate of the radar's industrial Ethernet transmission signal exceeds a maintenance threshold or a safety threshold, and selectively output an Ethernet maintenance or Ethernet cable damage signal; the radar status parameter includes the industrial Ethernet packet loss rate signal.

[0052] The fault diagnosis module includes a radar stuck diagnosis module, which is used to determine whether the torque signal reaches the torque threshold but the tilt parameter returned by the radar tilt sensor does not reach the maintenance threshold or safety threshold of the tilt angle, and selectively output a radar stuck maintenance signal or a radar stuck fault signal; the radar status parameters include the torque signal and the tilt sensor parameter signal.

[0053] The fault diagnosis module includes a radar horn shedding diagnosis module, which is used to determine whether the torque signal reaches the torque threshold, but the parameters returned by the tilt sensor appear outside the maintenance threshold or the safety threshold, and selectively output a radar horn maintenance or radar horn shedding signal; the radar status parameters include the torque parameters and the tilt sensor parameters.

[0054] The fault diagnosis module includes a temperature anomaly diagnosis module, which is used to determine whether the temperature signal transmitted by the temperature sensor exceeds a temperature threshold and selectively output the abnormal temperature signal; the radar status parameter includes the temperature signal of the temperature sensor.

[0055] The fault diagnosis module includes an electrical fault diagnosis module, which is used to determine whether the voltage and current of the power supply circuit are within the threshold of normal operation of the device, and selectively output an electrical fault signal. The radar status parameters include voltage and current abnormality signals.

[0056] Combine Figure 3 As shown, it is a workflow diagram of an embodiment of the present invention. First, the state parameters of the radar are obtained by the sensor. Then, the radar state parameters are stored and fault judgment is performed. It can be obtained from the previous database and analysis of the blast furnace radar. The state parameters of the blast furnace radar slowly change with the fault level and time. The radar state parameters will not change significantly. This lays the foundation for the dual threshold maintenance method. First, the maintenance threshold is judged. If it does not exceed the maintenance threshold, the radar state parameters are collected. If it exceeds the maintenance threshold, the safety threshold is judged. If it does not exceed the safety threshold, it is judged that the blast furnace radar has not generated an equipment failure, but needs to perform equipment maintenance. The radar parameters are stored and the maintenance type is output. A maintenance reminder is triggered and the radar state parameters are collected. If it exceeds the safety threshold, it is judged that the blast furnace radar has generated an equipment failure. The radar parameters are stored, the fault type is output, and a fault alarm is triggered. After the maintenance process is completed, the radar is continued to be monitored.

[0057] Combine Figure 4 As shown, in some embodiments, a blast furnace radar online status monitoring and fault diagnosis system may include multiple blast furnace radars, multiple power supply cabinets, multiple power supply circuits, and multiple online monitoring modules, wherein the number of blast furnace radars, power supply cabinets, power supply circuits, and online monitoring modules is equal. The blast furnace radar online monitoring and fault diagnosis system also includes a data bus connecting each online monitoring module and a data center that receives and processes status information from each radar. This enables unified fault processing and data storage for multiple blast furnace radars.

[0058] The blast furnace radar, power supply cabinet, power supply circuit and online monitoring module mentioned in the embodiment of the present invention are the same as those in the previous embodiment.

[0059] In the embodiment of the present invention, the blast furnace radar status online monitoring and fault diagnosis system realizes the measurement of the blast furnace radar electrical parameters, including real-time voltage and current electrical parameters; and realizes the measurement of blast furnace radar equipment information, including real-time radar echo intensity, inclination, vibration frequency, temperature and data packet loss rate equipment parameters. The electrical parameters and equipment parameters constitute complete radar status parameter information.

[0060] The blast furnace radar status online monitoring and fault diagnosis system in the embodiment of the present invention also has a patrol function, which can monitor radar status parameters in real time, and realize the online monitoring function of blast furnace radars.

[0061] The blast furnace radar status online monitoring and fault diagnosis system in the embodiment of the present invention also has an alarm function, which can promptly issue an alarm for radar failures and reduce the losses caused by equipment failures.

[0062] The blast furnace radar status online monitoring and fault diagnosis system in the embodiment of the present invention also has a predictive maintenance function, which can provide forward-looking early warning of the blast furnace radar that is about to fail, realize predictive maintenance, and reduce maintenance costs.

[0063] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A blast furnace radar status online monitoring and fault diagnosis system, characterized in that: The system comprises a blast furnace radar, a distribution box connected to the blast furnace radar, and an online monitoring module connected to the distribution box and the blast furnace radar, wherein the distribution box provides power to the blast furnace radar through a power circuit, and the online monitoring module measures the electrical parameters of the power circuit and the state parameters of the blast furnace radar in real time, wherein the online monitoring module comprises: A power supply module, used for providing power; A data transmission module, connected to the distribution box and the blast furnace radar and used for signal transmission; An electrical parameter acquisition module, connected to the data transmission module, for monitoring the electrical parameters of the power supply circuit in real time and generating an electrical parameter signal. The radar status parameter includes the electrical parameter signal; An equipment parameter acquisition module is connected to the data transmission module, and is used to monitor the equipment parameters of the blast furnace radar in real time and generate an equipment parameter signal, wherein the radar status parameter includes the equipment parameter signal; a digital-to-analog conversion module connected to the electrical parameter acquisition module and the state parameter acquisition module, the digital-to-analog conversion module being configured to perform digital-to-analog conversion on the electrical parameter signal and the device parameter signal, the radar state parameter including the electrical parameter signal and the device parameter signal; A fault diagnosis module is connected to the digital-to-analog conversion module, and is used to receive radar status parameters and determine whether the radar status parameters exceed a maintenance threshold or a safety threshold according to the radar status parameters. If the maintenance threshold is exceeded, a radar maintenance signal is output; if the safety threshold is exceeded, a radar fault signal is output. By setting a dual threshold for the radar, three states of the blast furnace radar can be effectively distinguished: no fault has occurred, fault is about to occur, and fault has occurred; The fault diagnosis module includes a radar echo abnormality diagnosis module, which is used to determine whether the radar echo signal strength reaches a maintenance threshold or a safety threshold, and selectively output a radar strength maintenance signal or a radar abnormal echo signal; the radar state parameter includes the radar echo signal strength signal; The fault diagnosis module includes an Ethernet cable damage diagnosis module, which is used to determine whether the packet loss rate of the radar's industrial Ethernet transmission signal exceeds a maintenance threshold or a safety threshold, and selectively output an Ethernet maintenance or Ethernet cable damage signal; the radar status parameter includes the industrial Ethernet packet loss rate signal; The fault diagnosis module includes a radar stuck diagnosis module, which is used to determine whether the torque signal reaches the torque threshold but the tilt parameter returned by the radar tilt sensor does not reach the maintenance threshold or safety threshold of the tilt angle, and selectively outputs a radar stuck maintenance signal or a radar stuck fault signal; the radar state parameters include the torque signal and the tilt sensor parameter signal; the fault diagnosis module includes a radar horn fall-off diagnosis module, which is used to determine whether the torque signal reaches the torque threshold but the parameter returned by the tilt sensor appears outside the maintenance threshold or safety threshold, and selectively outputs a radar horn maintenance or radar horn fall-off signal; the radar state parameters include the torque parameter and the tilt sensor parameter; The fault diagnosis module includes a temperature anomaly diagnosis module for determining whether a temperature signal transmitted by a temperature sensor exceeds a temperature threshold and selectively outputting an abnormal temperature signal; the radar status parameter includes the temperature signal of the temperature sensor; The fault diagnosis module includes an electrical fault diagnosis module, which is used to determine whether the voltage and current of the power supply circuit are within the threshold of normal operation of the device, and selectively output an electrical fault signal. The radar status parameters include voltage and current abnormality signals.

2. The blast furnace radar status online monitoring and fault diagnosis system according to claim 1, characterized in that: The blast furnace radar state online monitoring and fault diagnosis system also includes a control module, the control module includes a patrol module, the patrol module is connected to the fault diagnosis module, the patrol module is used to cyclically detect the radar state parameters output by the fault diagnosis module, and judge the radar fault type or radar maintenance type according to the radar state parameters, and generate a fault judgment signal or a maintenance judgment signal; The control module includes an alarm module, which is connected to the inspection module and sends an alarm to remind the staff to repair the fault after receiving the fault judgment signal from the inspection module; The control module includes a maintenance module, which is connected to the above-mentioned detection module. After receiving the maintenance judgment signal from the inspection module, the maintenance module sends a maintenance reminder to remind the staff that the equipment is about to fail and recommends predictive maintenance.

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