Method for predicting residual life of ship bearing

Abstract

The invention relates to the technical field of life prediction, in particular to a ship bearing residual life prediction method, which comprises the following steps of collecting salinity and humidity data of an environment where a ship bearing is located based on a working environment of the ship bearing, analyzing a corrosion rate of humidity and salinity to a bearing material in combination with historical operation data of the ship bearing, and calculating the residual life of the ship bearing. And obtaining an environmental influence analysis result. According to the invention, the actual operation state of the bearing can be evaluated by analyzing the salinity and humidity of the working environment of the ship bearing, analyzing the corrosion rate of the ship bearing material, analyzing the temperature and lubricating oil quality data and continuously monitoring the operation vibration of the bearing, and the material damage process can be determined by quantifying the calculation of fatigue accumulation. And the health state of the ship bearing is quantitatively evaluated, and the residual life is calculated in combination with the maintenance period and the operation condition, so that data support is provided for ship operation management, and the shutdown and maintenance cost caused by faults and accidents is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of life prediction, and in particular to a method for predicting the remaining life of a ship bearing. Background Art

[0002] The field of life prediction technology focuses on using data analysis to predict the expected service life of equipment, components or systems. Technology is widely used in various industrial and engineering fields, aiming to optimize maintenance plans and preventive maintenance strategies to reduce unexpected downtime and repair costs. Life prediction methods include extracting features from historical operating data, using statistical analysis techniques to evaluate the health status of components, and using predictive models to calculate the remaining service life. Technology not only improves the reliability and efficiency of equipment, but also provides a scientific basis for equipment management and maintenance decisions.

[0003] Among them, the ship bearing remaining life prediction method is a method that uses data analysis to estimate the health status and estimated remaining service life of ship bearings. The method is mainly used for ship maintenance and operation management. By identifying potential bearing failures in advance, it can effectively prevent the ship from unexpected downtime due to bearing failures, thereby ensuring navigation safety, reducing maintenance costs and extending the service life of the ship. Through real-time monitoring and regular data analysis, it helps ship managers make more accurate maintenance decisions.

[0004] Traditional prediction methods rely on statistical analysis of historical data and lack in-depth consideration of environmental variables such as salt, humidity and their relationship with material corrosion, resulting in reduced accuracy of prediction results when facing changing environmental conditions, making it difficult to accurately reflect the health status of bearings under actual operating conditions. Traditional methods lack dynamic monitoring of lubricant quality degradation and bearing operating vibration, making it difficult to capture changes that occur during the actual working process of the bearing. The lack of quantitative evaluation of the material fatigue process limits the accuracy of life prediction, leading to premature or late maintenance interventions, increasing maintenance costs and potentially shortening the actual service life of the equipment. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a method for predicting the remaining life of a ship bearing.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a method for predicting the remaining life of a ship bearing, comprising the following steps: S1: Based on the working environment of ship bearings, collect the salt and humidity data of the environment in which the ship bearings are located, combine the historical operation data of ship bearings, analyze the corrosion rate of humidity and salt on bearing materials, and obtain the environmental impact analysis results; S2: Based on the working environment of ship bearings, the temperature data of the operating environment is used to analyze the lubricating oil quality data of ship bearings, evaluate the quality degradation rate of lubricating oil, obtain the vibration data of ship bearings during operation, evaluate the changes in the vibration of ship bearings during operation, and obtain the operating status analysis results; S3: Based on the material properties and structural dimensions of the ship bearing, calculate the stress distribution of the bearing under the current load, analyze the fatigue process of the material affected by stress, predict the damage accumulation of the ship bearing material, and obtain the fatigue accumulation analysis results; S4: Based on the environmental impact analysis results, the operating status analysis results and the fatigue accumulation analysis results, the current health status of the ship bearing is quantitatively evaluated, and the remaining life of the ship bearing is evaluated in combination with the maintenance cycle and operating conditions of the ship bearing to obtain a quantitative result of the remaining life.

[0007] The present invention is improved in that the steps of obtaining the environmental impact analysis results are: S111: Based on the working environment of the ship bearing, collect salt and humidity data of the environment in which the ship bearing is located to obtain an environmental data set; S112: Based on the environmental data set, by formula:

[0008] Calculate the corrosion rate, evaluate the impact of current ambient humidity and salinity on bearing materials, and obtain environmental impact analysis results; in, is the corrosion rate, is the influence coefficient of salt on corrosion, is the influence coefficient of humidity on corrosion, is a constant term, is the total number of data points, For the Salt data points, For the humidity data points, is the time variation, Adjust the parameters for time.

[0009] The present invention is improved in that the method for evaluating the quality degradation rate of lubricating oil is: S211: Based on the working environment of ship bearings, temperature data is collected in real time from the operating environment of ship bearings, and lubricating oil in ship bearings is sampled regularly to obtain lubricating oil quality data through chemical analysis; S212: Based on the temperature data and the lubricating oil quality data, the formula:

[0010] Calculate the quality degradation rate of lubricating oil and evaluate the quality degradation status of lubricating oil; in, is the quality degradation rate of lubricating oil, For the The lubricant quality index of each sample, For the The temperature value of each sample, is the sensitivity coefficient of temperature change, is a constant, is the total number of data points.

[0011] The present invention is improved in that the steps of obtaining the running status analysis result are: S221: Based on the working environment of the ship bearing, collect the vibration intensity data of the ship bearing during operation; S222: Based on the quality degradation rate and vibration intensity data of the lubricating oil, the formula:

[0012] Calculate the rate of change of vibration , according to the vibration change rate The size of the bearing is used to evaluate the stability of the ship's bearing operation and obtain the operating status analysis results.

[0013] in, is the vibration change rate, For the The vibration intensity value at a time point, is the lubricant quality degradation rate, is the weight coefficient, is the total number of data points.

[0014] The present invention is improved in that the method for calculating the stress distribution of the bearing under the current load is: S311: Based on the material properties and structural dimensions of the ship bearing, the load and material property data of the ship bearing are collected, including the diameter, width, material elastic modulus and load force of the bearing, to obtain stress correlation data; S312: Based on the stress correlation data, by formula:

[0015] Calculate the stress value of each point under the current load, and analyze the stress distribution of the bearing under the current load based on the stress value of each point; in, Represents the radial position on the bearing and angle The stress at is the total load applied to the bearing, is the elastic modulus of the material, is the thickness of the bearing, is the Poisson's ratio of the material, represents pi, Calculate the radial position of the point, Calculate the angular position of the point, is the load adjustment factor, is the attenuation coefficient.

[0016] The present invention is improved in that the steps of obtaining the fatigue accumulation analysis result are: S321: Based on the stress distribution of the bearing under the current load, collect the material properties of the ship bearing, including fatigue limit, strength coefficient and fatigue life index, obtain and determine the working conditions of the bearing, the working conditions include average load, working temperature and operation cycle, and obtain fatigue damage correlation data; S322: Based on the fatigue damage correlation data, by formula:

[0017] Calculate the damage accumulation of ship bearing materials under current working conditions, analyze the damage of ship bearing materials, and obtain fatigue accumulation analysis results; in, It is the accumulation of damage. is the maximum stress, is the fatigue strength coefficient, is the number of cycles of fatigue life, and is the material property index, is the base of natural logarithms.

[0018] The present invention is improved in that the method for quantitatively evaluating the current health status of a ship bearing is: S411: Obtaining the corrosion rate based on the environmental impact analysis results, the operating status analysis results and the fatigue accumulation analysis results , vibration change rate and material damage accumulation , get health-related data; S412: Based on the health-related data, by formula:

[0019] Calculate the health status index of ship bearings to quantify the current health status of ship bearings; in, Indicates the health status index of ship bearings, , and are the weight coefficients of corrosion rate, vibration change rate and damage accumulation, is the base of natural logarithms, is the corrosion rate, is the bearing vibration change rate, Accumulated damage to the material.

[0020] The present invention is improved in that the step of obtaining the quantitative result of the remaining life is: S421: Based on the historical operation data of the ship bearing, the maintenance cycle of the ship bearing is obtained, and the current operating conditions of the ship bearing are extracted to obtain life-related data; S422: Based on the life span associated data and health status index , through the formula:

[0021] Calculate the remaining life of ship bearings and obtain the quantitative results of the remaining life; in, Remaining life, is the theoretical maximum lifetime, is the operating condition sensitivity adjustment factor, is the maintenance cycle influence coefficient, , and is the weight coefficient, is the base of natural logarithms, is the corrosion rate, is the bearing vibration change rate, The damage accumulation of the material. Represents the health status index.

[0022] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by analyzing the salt and humidity of the working environment of the ship bearing, analyzing the corrosion rate of the ship bearing material, analyzing the temperature and lubricating oil quality data, and continuously monitoring the bearing operation vibration, the actual operating state of the bearing can be evaluated, and the material damage process can be clarified by quantitative calculation of fatigue accumulation, and the health state of the ship bearing can be quantitatively evaluated. The remaining life is calculated in combination with the maintenance cycle and operating conditions, which optimizes the scientific nature of the remaining life prediction, provides data support for ship operation management, and reduces the downtime and maintenance costs caused by unexpected failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flow chart of the method of the present invention; Figure 2 A flow chart for obtaining environmental impact analysis results for the present invention; Figure 3 A flow chart for evaluating the quality degradation rate of lubricating oil for the present invention; Figure 4 A flow chart for obtaining the operating status analysis result of the present invention; Figure 5 A flow chart for calculating the stress distribution of a bearing under a current load for the present invention; Figure 6 A flow chart for obtaining fatigue cumulative analysis results for the present invention; Figure 7 A flow chart for quantitatively evaluating the current health status of a ship bearing according to the present invention; Figure 8 The present invention is a flow chart for obtaining the quantitative result of the remaining life. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0025] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0026] Example See also Figure 1 The present invention provides a technical solution: a method for predicting the remaining life of a ship bearing, comprising the following steps: S1: Based on the working environment of ship bearings, collect the salt and humidity data of the environment in which the ship bearings are located, combine the historical operation data of ship bearings, analyze the corrosion rate of humidity and salt on bearing materials, and obtain the environmental impact analysis results; S2: Based on the working environment of ship bearings, the temperature data of the operating environment is used to analyze the lubricating oil quality data of ship bearings, evaluate the quality degradation rate of lubricating oil, obtain the vibration data of ship bearings during operation, evaluate the changes in the vibration of ship bearings during operation, and obtain the operating status analysis results; S3: Based on the material properties and structural dimensions of the ship bearing, calculate the stress distribution of the bearing under the current load, analyze the fatigue process of the material affected by stress, predict the damage accumulation of the ship bearing material, and obtain the fatigue accumulation analysis results; S4: Based on the results of environmental impact analysis, operating status analysis and fatigue accumulation analysis, quantitatively evaluate the current health status of the ship bearings, and combine the maintenance cycle and operating conditions of the ship bearings to evaluate the remaining life of the ship bearings and obtain the quantitative results of the remaining life.

[0027] The results of the environmental impact analysis specifically include the effects of humidity and salt on the corrosion rate of bearing materials. The results of the operating status analysis include abnormal vibration frequency indicators and lubricant quality degradation rates. The results of the fatigue accumulation analysis specifically include stress concentration areas and fatigue crack initiation locations. The remaining life quantification results include the predicted remaining effective working cycle, health status score and failure possibility assessment.

[0028] See also Figure 2 , the steps to obtain the environmental impact analysis results are: S111: Based on the working environment of the ship bearing, collect salt and humidity data of the environment in which the ship bearing is located to obtain an environmental data set; S112: Based on the environmental data set, through the formula:

[0029] Calculate the corrosion rate, evaluate the impact of current ambient humidity and salinity on bearing materials, and obtain environmental impact analysis results; in, is the corrosion rate, is the influence coefficient of salt on corrosion, is the influence coefficient of humidity on corrosion, is a constant term, is the total number of data points, For the Salt data points, For the humidity data points, is the time variation, Adjust the parameters for time.

[0030] formula:

[0031] Parameter meaning and acquisition method: and It is a coefficient obtained through historical data analysis, which indicates the degree of influence of salt and humidity on corrosion rate. The coefficient is obtained through regression analysis, analyzing the relationship between past corrosion data and environmental conditions.

[0032] It is a constant term set based on experimental data and represents the basic corrosion rate under standard conditions.

[0033] and It is the salinity and humidity data collected in real time by environmental monitoring equipment. The data is collected from sensors in the area where the ship's bearings are located, ensuring real-time and accuracy.

[0034] It is the total number of data points, reflecting the frequency and continuity of data monitored over a specific time period.

[0035] and is the time variable, where Indicates the time difference from the start of data collection to now, It is an adjustment parameter set based on historical data and is used to adjust the effect of time on the corrosion rate.

[0036] Calculation Example Assumptions , , , salt dataset , humidity dataset , , Month, Months.

[0037] Calculate average salinity and humidity:

[0038]

[0039] Substitute into the corrosion rate formula:

[0040]

[0041]

[0042]

[0043]

[0044] Calculation results It means that under given environmental conditions, the estimated corrosion rate is 4.937. The results can help ship maintenance teams assess the corrosion status of bearings and arrange replacement or maintenance work accordingly to ensure the safe operation of the ship.

[0045] See also Figure 3 , the method for evaluating the quality degradation rate of lubricating oil is: S211: Based on the working environment of ship bearings, temperature data is collected in real time from the operating environment of ship bearings, and lubricating oil in ship bearings is sampled regularly to obtain lubricating oil quality data through chemical analysis; S212: Based on temperature data and lubricant quality data, by formula:

[0046] Calculate the quality degradation rate of lubricating oil and evaluate the quality degradation status of lubricating oil; in, is the quality degradation rate of lubricating oil, For the The lubricant quality index of each sample, For the The temperature value of each sample, is the sensitivity coefficient of temperature change, is a constant, is the total number of data points.

[0047] formula:

[0048] Parameter details and how to obtain them: :The lubricant quality index of each sample point is obtained through chemical analysis. The sample data is taken from the lubricant of the ship bearing and then sent to the laboratory for quality testing.

[0049] : corresponds to The temperature measurement values ​​are recorded in real time by temperature sensors near the ship's bearings.

[0050] : A coefficient that indicates the sensitivity of lubricant quality to temperature changes. It is obtained by regression analysis of historical data to analyze the correlation between the degradation rate of lubricant and temperature.

[0051] : is a constant used to avoid the denominator being zero and improve numerical stability. The parameter is preset according to the data range and experimental conditions.

[0052] : represents the total number of samples, that is and The total number of data points is determined directly from the number of data points recorded during the experiment or monitoring process.

[0053] Calculation example: Assumptions: , indicating that there are 5 data points.

[0054] , lubricant quality indicators at each sample point.

[0055] , the corresponding temperature value.

[0056] , the sensitivity coefficient of lubricating oil quality to temperature.

[0057] , a small positive number used for numerical stability.

[0058] Substitute the formula:

[0059] Calculation steps: Compute the value for each numerator:

[0060]

[0061]

[0062]

[0063]

[0064] Compute the value of each denominator:

[0065]

[0066]

[0067]

[0068]

[0069] Calculate the final result: Numerator sum

[0070] Sum of denominators

[0071]

[0072] Calculation results It means that under given sample data and environmental conditions, the average quality degradation rate of lubricating oil is 1.833. The value is calculated based on experimental data and specific temperature sensitivity coefficient, which reflects the degradation rate of lubricating oil under actual operating conditions and provides important quantitative information for ship maintenance.

[0073] See also Figure 4 , the steps to obtain the running status analysis results are: S221: Based on the working environment of the ship bearing, collect the vibration intensity data of the ship bearing during operation; S222: Based on the quality degradation rate and vibration intensity data of the lubricating oil, the formula is:

[0074] Calculate the rate of change of vibration , according to the vibration change rate The size of the bearing is used to evaluate the stability of the ship's bearing operation and obtain the operating status analysis results.

[0075] in, is the vibration change rate, For the The vibration intensity value at a time point, is the lubricant quality degradation rate, is the weight coefficient, is the total number of data points.

[0076] formula:

[0077] Parameter details and how to obtain them: : No. The vibration intensity value at each time point is directly measured by the vibration sensor. The sensor is installed at the key position of the ship's bearing and can record vibration data in real time.

[0078] : Lubricant quality degradation rate, obtained by the previous step.

[0079] : is a weight coefficient that reflects the sensitivity of the lubricant quality degradation rate to the vibration intensity. The coefficient is obtained through regression analysis of historical data and machine learning models to ensure that it reflects the dynamic changes under actual operating conditions, and can also be preset by experts.

[0080] : Represents the total number of data points collected, determined directly from the number of data points recorded by the vibration monitoring equipment.

[0081] Calculation example: Assume the following parameter values: : Indicates that 4 data points were collected.

[0082] Vibration intensity recorded at each time point: .

[0083] : Represents the quality degradation rate of lubricating oil.

[0084] : Sensitivity coefficient of the effect of lubricating oil quality degradation rate on vibration intensity.

[0085] Calculation process: Calculate the weighted value of vibration intensity and lubricant degradation rate at each time point:

[0086]

[0087]

[0088]

[0089] Sum and apply the logarithm:

[0090] Apply logarithmic operations:

[0091] Calculate the rate of change of vibration :

[0092] Calculation results The company said that under given parameters and environmental conditions, the vibration variation index is 0.28225, which indicates the degree to which the rate of lubricant degradation affects vibration. This metric can help maintenance teams assess the health of bearings and develop more effective maintenance strategies accordingly.

[0093] See also Figure 5 , the method to calculate the stress distribution of the bearing under the current load is: S311: Based on the material properties and structural dimensions of the ship bearing, the load and material property data of the ship bearing are collected, including the diameter, width, material elastic modulus and load force of the bearing, to obtain stress correlation data; S312: Based on stress correlation data, through the formula:

[0094] Calculate the stress value of each point under the current load, and analyze the stress distribution of the bearing under the current load based on the stress value of each point; in, Represents the radial position on the bearing and angle The stress at is the total load applied to the bearing, is the elastic modulus of the material, is the thickness of the bearing, is the Poisson's ratio of the material, represents pi, Calculate the radial position of the point, Calculate the angular position of the point, is the load adjustment factor, is the attenuation coefficient.

[0095] formula:

[0096] Parameter details and how to obtain them: : The total load applied to the bearing, measured by load testing equipment or estimated based on the ship's operating conditions.

[0097] : The elastic modulus of the material, obtained from data provided by the material supplier or through material testing such as tensile testing.

[0098] : The thickness of the bearing, obtained from design specifications or direct measurement.

[0099] : Specify the radial position of the calculation point, which is determined based on the actual size of the bearing and the area that needs to be analyzed.

[0100] : Specify the angle position of the calculation point, from 0 to 360 degrees, depending on the position of the point to be analyzed.

[0101] : Poisson's ratio of the material, obtained from the material properties table or through material testing.

[0102] : Load adjustment coefficient is used to simulate the actual working conditions. The coefficient for adjusting stress calculation due to factors such as uneven load distribution, installation errors, or operating conditions can be preset by experts.

[0103] : Attenuation coefficient, used to represent the reduction in force caused by various factors during the actual load transfer process. The coefficient helps simulate the load attenuation effect due to actual operating conditions and can be preset by experts.

[0104] Calculation example: Assumed parameter values: N: Assume the total applied load is 5000 Newtons.

[0105] : Elastic modulus of common steel materials.

[0106] 5 cm: Assume the thickness of the bearing is 5 cm.

[0107] Centimeters: Select a specific radial position to calculate.

[0108] : Select an angle of 45 degrees as the calculation point.

[0109] : Typical Poisson's ratio for steel.

[0110] 75, .

[0111] Calculation process: Calculate the radial stress distribution:

[0112] Simplified calculation:

[0113]

[0114]

[0115]

[0116] Calculation results It means that at the radial position of 10 cm and the angle of 45 degrees, the stress value reaches about The stress level is critical to fatigue analysis, showing the maximum stress that the bearing may experience under this condition, providing key data for fatigue damage and life prediction.

[0117] See also Figure 6 , the steps to obtain the fatigue accumulation analysis results are: S321: Based on the stress distribution of the bearing under the current load, collect the material properties of the ship bearing, including fatigue limit, strength coefficient and fatigue life index, obtain and determine the working conditions of the bearing, the working conditions include average load, working temperature and operation cycle, and obtain fatigue damage correlation data; S322: Based on fatigue damage correlation data, through the formula:

[0118] Calculate the damage accumulation of ship bearing materials under current working conditions, analyze the damage of ship bearing materials, and obtain fatigue accumulation analysis results; in, It is the accumulation of damage. is the maximum stress, is the fatigue strength coefficient, is the number of cycles of fatigue life, and is the material property index, is the base of natural logarithms.

[0119] formula:

[0120] Parameter details and how to obtain them: : Maximum stress, obtained from stress distribution calculation, reflects the maximum stress that the bearing is subjected to under the most unfavorable load conditions.

[0121] : Fatigue strength coefficient, obtained through material testing, expresses the fatigue limit of the material under the reference life.

[0122] : Represents the number of cycles in fatigue life, usually determined based on historical data and experimental results of the material.

[0123] : Fatigue strength index, obtained from the fatigue test data of the material, describes the sensitivity of the material's fatigue life to the number of cycles.

[0124] : The slope of the fatigue curve is obtained based on experimental data and reflects the fatigue behavior of the material under different stress levels.

[0125] Calculation example: Assumed parameter values: Pa: Assume that the maximum stress is 368 MPa, based on the stress distribution calculation in the previous text. Pa: Fatigue strength coefficient is assumed to be 450MPa. : Assume the fatigue life cycle number is one million times.

[0126] : Assume the fatigue strength index is -0.1.

[0127] : Assume that the slope of the fatigue curve is 1.5.

[0128] Calculation process: Substitute into the calculation of damage accumulation:

[0129] calculate Impact:

[0130] Simplify and calculate:

[0131]

[0132]

[0133]

[0134] Calculation results It means that under the current load and material conditions, the damage accumulation of the ship bearing material is %, indicating that the bearing material has accumulated nearly half of the damage within the designed fatigue life, which is an important signal indicating that further monitoring or consideration of bearing replacement is needed to avoid possible failure.

[0135] See also Figure 7 , the method to quantitatively evaluate the current health status of the ship bearing is: S411: Obtain corrosion rate based on environmental impact analysis results, operating status analysis results and fatigue accumulation analysis results , vibration change rate and material damage accumulation , get health-related data; S412: Based on health-related data, by formula:

[0136] Calculate the health status index of ship bearings to quantify the current health status of ship bearings; in, Indicates the health status index of ship bearings, , and are the weight coefficients of corrosion rate, vibration change rate and damage accumulation, is the base of natural logarithms, is the corrosion rate, is the bearing vibration change rate, Accumulated damage to the material.

[0137] formula:

[0138] Parameter details and how to obtain them: : Corrosion rate, obtained by the previous step.

[0139] : The rate of change of bearing vibration, obtained by the previous step.

[0140] : Damage accumulation of the material, obtained through the previous steps.

[0141] , and : Weight coefficients of the effects of corrosion rate, vibration change rate and damage accumulation on health status. The coefficients are set through historical data analysis and expert experience to ensure that each factor is weighted according to its impact on health status.

[0142] Calculation example: Assumed parameter values: : Assume the corrosion rate is 0.03mm / year.

[0143] : Assume that the vibration change rate is 0.5mm / year.

[0144] : Assume that the damage accumulation is 20%.

[0145] , , : Assumed weight coefficient.

[0146] Calculation process: Calculate the weighted contribution to the corrosion rate:

[0147]

[0148]

[0149] Calculate the weighted contribution of the vibration rate of change:

[0150]

[0151]

[0152]

[0153] Calculate the weighted contribution to damage accumulation:

[0154]

[0155]

[0156]

[0157] Combined calculation of health status:

[0158]

[0159]

[0160]

[0161] Calculation results It indicates that under the current corrosion rate, vibration change rate and material damage accumulation conditions, the health status of the ship bearing is 65.6%, indicating that the performance of the bearing has declined and requires attention to maintenance and possible early intervention. The results provide an intuitive quantitative indicator to help decision makers understand the immediate health status of the bearing, so as to make maintenance planning and operation adjustments more effectively.

[0162] See also Figure 8 , the steps to obtain the quantitative results of the remaining life are: S421: Based on the historical operation data of the ship bearing, the maintenance cycle of the ship bearing is obtained, and the current operating conditions of the ship bearing are extracted to obtain life-related data; S422: Based on life-related data and health status index , through the formula:

[0163] Calculate the remaining life of ship bearings and obtain the quantitative results of the remaining life; in, Remaining life, is the theoretical maximum lifetime, is the operating condition sensitivity adjustment factor, is the maintenance cycle influence coefficient, , and is the weight coefficient, is the base of natural logarithms, is the corrosion rate, is the bearing vibration change rate, The damage accumulation of the material. Represents the health status index.

[0164] formula:

[0165] Parameter details and how to obtain them : The ideal maximum life of a bearing, data provided by the manufacturer based on standard operating conditions.

[0166] : Operating condition sensitivity adjustment factor, set through historical data and expert evaluation to adapt to the impact of different operating environments on bearing life.

[0167] : Maintenance cycle impact coefficient, adjust health status index Weights applied to the life prediction to reflect the effects of scheduled maintenance and operating conditions.

[0168] : Corrosion rate, obtained by the previous step.

[0169] : The rate of change of bearing vibration, obtained by the previous step.

[0170] : Damage accumulation of the material, obtained through the previous steps.

[0171] , and : The weight coefficient of the influence of corrosion, vibration and damage accumulation on life is obtained through experiments and data analysis based on the bearing material characteristics and operating conditions.

[0172] : The health status index of the ship bearing, obtained through the previous steps.

[0173] Calculation example: Assumed parameter values: years: Theoretical maximum lifespan.

[0174] : Sensitivity adjustment coefficient.

[0175] : Maintenance cycle influence coefficient.

[0176] mm / year: corrosion rate.

[0177] mm / year: rate of change of vibration.

[0178] : Material damage accumulation.

[0179] , , : Weight coefficient.

[0180] : Health status index.

[0181] Calculation process: Calculate the comprehensive impact factor:

[0182]

[0183]

[0184] Calculate the remaining life:

[0185]

[0186]

[0187]

[0188] Adjusted calculation results years means that under the current operating conditions, maintenance cycles and health status, the ship bearing is expected to work effectively for about 8 years.

[0189] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for predicting the remaining life of ship bearings. It is characterized in that The following steps are involved: Based on the working environment of ship bearings, the salt and humidity data of the environment in which the ship bearings are located are collected. Combined with the historical operation data of ship bearings, the corrosion rate of humidity and salt on bearing materials is analyzed to obtain the environmental impact analysis results; Based on the working environment of ship bearings, the temperature data of the operating environment is used to analyze the lubricating oil quality data of ship bearings, evaluate the quality degradation rate of lubricating oil, obtain the vibration data of ship bearings during operation, evaluate the changes in the vibration of ship bearings during operation, and obtain the operating status analysis results; Based on the material properties and structural dimensions of the ship bearing, calculate the stress distribution of the bearing under the current load, analyze the fatigue process of the material affected by stress, predict the damage accumulation of the ship bearing material, and obtain the fatigue accumulation analysis results; Based on the environmental impact analysis results, the operating status analysis results and the fatigue accumulation analysis results, the current health status of the ship bearing is quantitatively evaluated, and combined with the maintenance cycle and operating conditions of the ship bearing, the remaining life of the ship bearing is evaluated to obtain a quantitative result of the remaining life.

2. The method for predicting the remaining life of a ship bearing according to claim 1, It is characterized in that The steps for obtaining the environmental impact analysis results are: Based on the working environment of ship bearings, the salt and humidity data of the environment in which the ship bearings are located are collected to obtain an environmental data set; Based on the environmental data set, the formula: ； Calculate the corrosion rate, evaluate the impact of current ambient humidity and salinity on bearing materials, and obtain environmental impact analysis results; in, is the corrosion rate, is the influence coefficient of salt on corrosion, is the influence coefficient of humidity on corrosion, is a constant term, is the total number of data points, For the Salt data points, For the humidity data points, is the time variation, Adjust the parameters for time.

3. The method for predicting the remaining life of a ship bearing according to claim 1, It is characterized in that The method for evaluating the quality degradation rate of lubricating oil is: Based on the working environment of ship bearings, temperature data is collected in real time from the operating environment of ship bearings, and lubricating oil in ship bearings is sampled regularly to obtain lubricating oil quality data through chemical analysis; Based on the temperature data and lubricating oil quality data, the formula: ； Calculate the quality degradation rate of lubricating oil and evaluate the quality degradation status of lubricating oil; in, is the quality degradation rate of lubricating oil, For the The lubricant quality index of each sample, For the The temperature value of each sample, is the sensitivity coefficient of temperature change, is a constant, is the total number of data points.

4. The method for predicting the remaining life of a ship bearing according to claim 1, It is characterized in that The steps for obtaining the running status analysis result are: Based on the working environment of ship bearings, collect vibration intensity data during the operation of ship bearings; Based on the quality degradation rate and vibration intensity data of the lubricating oil, the formula is: ； Calculate the rate of change of vibration , according to the vibration change rate The size of the bearing is used to evaluate the stability of the ship's bearing operation and obtain the operating status analysis results; in, is the vibration change rate, For the The vibration intensity value at a time point, is the lubricant quality degradation rate, is the weight coefficient, is the total number of data points.

5. The method for predicting the remaining life of a ship bearing according to claim 1, It is characterized in that The method for calculating the stress distribution of the bearing under the current load is: Based on the material properties and structural dimensions of ship bearings, the load and material property data of ship bearings are collected, including the diameter, width, material elastic modulus and load force of the bearings, to obtain stress correlation data; Based on the stress correlation data, the formula: ； Calculate the stress value of each point under the current load, and analyze the stress distribution of the bearing under the current load based on the stress value of each point; in, Represents the radial position on the bearing and angle The stress at is the total load applied to the bearing, is the elastic modulus of the material, is the thickness of the bearing, is the Poisson's ratio of the material, represents pi, Calculate the radial position of the point, Calculate the angular position of the point, is the load adjustment factor, is the attenuation coefficient.

6. The method for predicting the remaining life of a ship bearing according to claim 5, It is characterized in that The steps for obtaining the fatigue accumulation analysis results are as follows: Based on the stress distribution of the bearing under the current load, the material properties of the ship bearing are collected, including fatigue limit, strength coefficient and fatigue life index, and the working conditions of the bearing are determined, including average load, working temperature and operation cycle, to obtain fatigue damage correlation data; Based on the fatigue damage correlation data, the formula: ； Calculate the damage accumulation of ship bearing materials under current working conditions, analyze the damage of ship bearing materials, and obtain fatigue accumulation analysis results; in, It is the accumulation of damage. is the maximum stress, is the fatigue strength coefficient, is the number of cycles of fatigue life, and is the material property index, is the base of natural logarithms.

7. The method for predicting the remaining life of a ship bearing according to claim 1, It is characterized in that The method for quantitatively evaluating the current health status of a ship bearing is: Based on the environmental impact analysis results, the operating status analysis results and the fatigue accumulation analysis results, the corrosion rate is obtained. , vibration change rate and material damage accumulation , get health-related data; Based on the health-related data, the formula: ； Calculate the health status index of ship bearings to quantify the current health status of ship bearings; in, Indicates the health status index of ship bearings, , and are the weight coefficients of corrosion rate, vibration change rate and damage accumulation, is the base of natural logarithms, is the corrosion rate, is the bearing vibration change rate, Accumulation of material damage.

8. The method for predicting the remaining life of a ship bearing according to claim 7, It is characterized in that The steps for obtaining the remaining life quantification result are: Based on the historical operation data of ship bearings, the maintenance cycle of ship bearings is obtained, and the current operating conditions of ship bearings are extracted to obtain life-related data; Based on the life span correlation data and health status index , through the formula: ； Calculate the remaining life of ship bearings and obtain the quantitative results of the remaining life; in, Remaining life, is the theoretical maximum lifetime, is the operating condition sensitivity adjustment factor, is the maintenance cycle influence coefficient, , and is the weight coefficient, is the base of natural logarithms, is the corrosion rate, is the bearing vibration change rate, The damage accumulation of the material. Represents the health status index.

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