Method and system for diagnosing degradation of main gear oil of fan

Abstract

The invention discloses a draught fan main gear oil degradation diagnosis method and system, and the method comprises the steps: carrying out the real-time data collection of the kinematic viscosity of draught fan main gear oil, and carrying out the normalization processing and weighting, and obtaining the standardized value of the kinematic viscosity; carrying out real-time data acquisition on the acid value of the main gear oil of the fan, and carrying out normalization processing and weighting to obtain a standardized value of the acid value; carrying out real-time data acquisition on the fan main gear oil wear element, and carrying out normalization processing and weighting to obtain a standardized value of the wear element; carrying out real-time data acquisition on the fan main gear oil additive dissolution element, and carrying out normalization processing and weighting to obtain a standardized value of the additive dissolution element; determining a degradation index according to each standardized value, and judging whether the main gear oil of the fan is degraded or not and judging the abnormal grade of oil degradation; the method has the advantages that the calculated amount is small, the efficiency is high, and the diagnosis result can be efficiently output.

Description

Technical Field

[0001] The present invention relates to the field of safe operation of wind power equipment, and particularly to a method and system for diagnosing the deterioration of the main gear oil of a wind turbine. Background Art

[0002] As a clean energy source, wind power has developed rapidly worldwide. The gearbox of a wind turbine is a key component that converts the rotational energy of the wind turbine blades into electrical energy, and the main gear oil is an important lubricating and cooling medium to ensure the normal operation of the gearbox. The quality of the main gear oil directly affects the operation efficiency and safety of the wind turbine. With the long-term operation of wind power equipment, the gear oil will deteriorate due to factors such as oxidation, pollution, and wear, resulting in a decline in equipment performance and even causing failures. Therefore, developing an effective method for diagnosing the deterioration of the main gear oil of a wind turbine is of great significance for ensuring the safe operation of wind power equipment.

[0003] The complexity and professionalism of wind power equipment require technicians to have rich practical experience and high judgment ability. However, with the rapid development of the wind power industry, the dispersion of professional technicians and the lack of practical experience of new technicians have led to a decline in the judgment ability for handling wind power equipment abnormalities, which poses a challenge to the guarantee of the safe operation of wind power equipment.

[0004] To ensure the safe operation of wind power equipment, there are currently various methods applied to the field of fault and anomaly diagnosis of wind power equipment, such as neural networks, genetic algorithms, fuzzy logic, etc. These methods have achieved practical results to a certain extent, but due to the high requirements for basic data and the existence of a certain risk of misdiagnosis, their application and development in the field of wind power fault and anomaly diagnosis are restricted. Chinese Patent Publication No. CN113985012A discloses a method for evaluating the deterioration risk of mineral turbine oil (hereinafter referred to as Document 1), which discloses that water content and operating temperature are regarded as the two most important influencing factors for oil quality deterioration. Through appearance, change rate of kinematic viscosity, acid value, chromaticity, flash point, air release value, foaming characteristics test, demulsibility, anti-rust performance test, rotating oxygen bomb method for oxidation stability test, antioxidant content, paint film tendency index, and particle size, a comprehensive evaluation of the oil product performance index is carried out. This method avoids the problem of misdiagnosis caused by relying on basic data such as neural networks, genetic algorithms, and fuzzy logic. First, the important influencing factors in Document 1 are water content and operating temperature, with a high proportion of weight. The proportion of weight of kinematic viscosity and acid value in Document 1 is not high, while kinematic viscosity and acid value are important influencing factors for the diagnosis of the deterioration of the main gear oil of the fan. Moreover, this document ignores other important factors that affect the diagnosis of the deterioration of the main gear oil of the fan, and the proportion of important influencing factors is low, resulting in inaccurate diagnostic results. Second, in terms of data collection, Document 1 requires a wide variety of data types for the diagnosis of oil deterioration, resulting in difficult data collection, large calculation amounts, and low efficiency. In addition, in terms of calculation, the calculation process in Document 1 is complex. It is necessary to calculate scores according to different rules for each factor and combine the weights to obtain the total score of the oil product state. It should be emphasized that there are significant differences in the oil product performance between mineral turbine oil and fan gear oil. The viscosity of mineral turbine oil is generally 32 or 46, and the viscosity of fan gear oil is generally around 320. The usage environments of the two oils are different. Mineral turbine oil is used in generator sets, and fan gear oil is used in the fan gearbox part. There are significant differences in the diagnostic methods of the two oil products in the operating state. Therefore, the method in Document 1 is not applicable to the deterioration diagnosis of the main gear oil of the fan.

[0005] In summary, the safe and reliable operation of wind power equipment poses high requirements for the professional capabilities and experience of technical personnel, and the deterioration problem of the main gear oil of the fan is one of the key factors affecting the safety of wind power equipment. Therefore, developing an efficient and reliable method for diagnosing the deterioration of the main gear oil of the fan has important practical significance for improving the operating efficiency and safety of wind power equipment and reducing the risk of failures. Summary of the Invention

[0006] The technical problem to be solved by the present invention is that the existing diagnostic methods for the deterioration of the main gear oil of the fan have difficult data collection, large calculation amounts, and low efficiency, and the existing oil deterioration methods are not applicable to the deterioration diagnosis of the main gear oil of the fan, thus making it difficult to accurately and efficiently output diagnostic results.

[0007] The present invention solves the above technical problems by the following technical means: A diagnostic method for the deterioration of the main gear oil of a fan, comprising the following steps:

[0008] S1: Collect real-time data on the kinematic viscosity of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the kinematic viscosity;

[0009] S2: Collect real-time data on the acid value of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the acid value;

[0010] S3: Collect real-time data on the wear elements of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the wear elements;

[0011] S4: Collect real-time data on the additive dissolution elements of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the additive dissolution elements;

[0012] S5: Determine the deterioration index according to the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear elements, and the standardized value of the additive dissolution elements, and judge whether the main gear oil of the fan deteriorates and the abnormal level of oil deterioration.

[0013] The diagnostic method of the present invention only collects the kinematic viscosity, acid value, wear elements and additive dissolution elements of the main gear oil of the fan. The collected data are all easy-to-collect data of the main gear oil of the fan, and the types and amounts of the collected data are relatively small, and the calculation amount is small. Therefore, the overall diagnostic time is short, the efficiency is high, the abnormality of the main gear oil of the fan is diagnosed, and the fault type is determined, thereby improving the safety of the fan, and further ensuring the stable and safe operation of the entire fan. Secondly, the present invention fully considers the important influencing factors in the diagnosis of the deterioration of the main gear oil of the fan, that is, the kinematic viscosity, acid value, wear elements of the main gear oil of the fan and the additive dissolution elements of the main gear oil of the fan. The important influencing factors account for a large proportion, and the indicators such as wear particles, acid value, and viscosity that the fan gear oil pays more attention to are considered, which is applicable to the deterioration diagnosis of the main gear oil of the fan, so the diagnostic result has high accuracy.

[0014] Further, the S1 includes:

[0015] S11: Collect the kinematic viscosity of the main gear oil of the fan to obtain real-time kinematic viscosity data;

[0016] S12: Divide the real-time kinematic viscosity data of the main gear oil of the fan by the warning value set in the regulation standard of the kinematic viscosity to obtain the normalized value of this data;

[0017] S13: The weight of the kinematic viscosity of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0018] S14: Multiply the normalized value obtained in S12 by the weight in S13 to obtain the standardized value of kinematic viscosity.

[0019] Further, the said S2 includes:

[0020] S21: Collect the acid value of the main gear oil of the fan to obtain real-time acid value data;

[0021] S22: Divide the real-time acid value data of the main gear oil of the fan by the warning value set in the regulation standard for the acid value to obtain the normalized value of this data;

[0022] S23: The proportion of the weight of the acid value of the main gear oil of the fan in the total weight of deterioration indicators is 0.3;

[0023] S24: Multiply the normalized value obtained in S22 by the weight in S23 to obtain the standardized value of the acid value.

[0024] Further, the said S3 includes:

[0025] S31: Collect real-time data of different elements in the wear elements of the main gear oil of the fan, that is, the element mass content in the gear oil sample, unit mg / kg; the wear elements include aluminum, iron, copper, lead, chromium, molybdenum, manganese, sodium, magnesium;

[0026] S32: Preprocess the real-time data of different elements in the wear elements. Divide the real-time data of aluminum by the warning value of 10 mg / kg set in the regulation standard for aluminum to obtain the normalized value of aluminum. Divide the real-time data of iron by the warning value of 70 mg / kg set in the regulation standard for iron to obtain the normalized value of iron. Divide the real-time data of copper by the warning value of 10 mg / kg set in the regulation standard for copper to obtain the normalized value of copper. Divide the real-time data of lead by the warning value of 15 mg / kg set in the regulation standard for lead to obtain the normalized value of lead. Divide the real-time data of chromium by the warning value of 10 mg / kg set in the regulation standard for chromium to obtain the normalized value of chromium. Divide the real-time data of molybdenum by the warning value of 30 mg / kg set in the regulation standard for molybdenum to obtain the normalized value of molybdenum. Divide the real-time data of manganese by the warning value of 10 mg / kg set in the regulation standard for manganese to obtain the normalized value of manganese. Divide the real-time data of sodium by the warning value of 15 mg / kg set in the regulation standard for sodium to obtain the normalized value of sodium. Divide the real-time data of magnesium by the warning value of 10 mg / kg set in the regulation standard for magnesium to obtain the normalized value of magnesium;

[0027] S33: Divide the sum of the normalized values of each element by the number of element types to obtain the normalized value of the wear elements;

[0028] S34: The proportion of the weight of the wear elements of the main gear oil of the fan in the total weight of deterioration indicators is 0.2;

[0029] S35: Multiply the normalized value obtained in S33 by the weight in S34 to obtain the standardized value of the wear element.

[0030] Furthermore, the said S4 includes:

[0031] S41: Collect the real-time data of different elements in the additive dissolution elements of the main gear oil of the fan, that is, the elemental mass content in the gear oil sample, unit mg / kg; the additive dissolution elements include boron, calcium, phosphorus, and silicon;

[0032] S42: Divide the real-time data of different elements in the additive dissolution elements by the new oil data to obtain the change deviation value of the dissolution elements, and divide this deviation value by 15% to obtain the calculated value of each element;

[0033] S43: Divide the sum of the calculated values of each element by the number of element types to obtain the normalized value of the additive dissolution elements;

[0034] S44: The proportion of the weight of the additive dissolution elements of the main gear oil of the fan in the total weight of the deterioration index is 0.2;

[0035] S45: Multiply the normalized value obtained in S43 by the weight in S44 to obtain the standardized value of the additive dissolution elements.

[0036] Furthermore, the said S5 includes:

[0037] S51: Judge the deterioration index DI to judge whether DI < 0.4 is satisfied. If satisfied, the main gear oil of the fan has not deteriorated and the equipment is operating normally. If not satisfied, enter S52; the deterioration index DI is the sum of the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear element, and the standardized value of the additive dissolution elements;

[0038] S52: Judge the deterioration index DI to judge whether DI ≥ 0.4 and DI < 0.7 are satisfied. If satisfied, the deterioration abnormal level is the start of deterioration. If not satisfied, enter S53;

[0039] S53: Judge the deterioration index DI to judge whether DI ≥ 0.7 and DI < 0.9 are satisfied. If satisfied, the deterioration abnormal level is deterioration. If not satisfied, enter S54;

[0040] S54: Judge the deterioration index DI to judge whether DI ≥ 0.9 is satisfied. If satisfied, the deterioration abnormal level is severe deterioration.

[0041] The present invention also provides a diagnostic system for the deterioration of the main gear oil of a fan, including:

[0042] The first normalization module is used to collect real-time data of the kinematic viscosity of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the kinematic viscosity;

[0043] The second normalization module is used to collect real-time data of the acid value of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the acid value;

[0044] The third normalization module is used to collect real-time data of the wear elements of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the wear elements;

[0045] The fourth normalization module is used to collect real-time data of the additive dissolution elements of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the additive dissolution elements;

[0046] The deterioration diagnosis module is used to determine the deterioration index according to the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear elements, and the standardized value of the additive dissolution elements, and judge whether the main gear oil of the fan deteriorates and the abnormal level of oil deterioration.

[0047] Further, the first normalization module is further used for:

[0048] S11: Collect the kinematic viscosity of the main gear oil of the fan to obtain real-time kinematic viscosity data;

[0049] S12: Divide the real-time kinematic viscosity data of the main gear oil of the fan by the warning value set in the regulation standard for the kinematic viscosity to obtain the normalized value of this data;

[0050] S13: The weight of the kinematic viscosity of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0051] S14: Multiply the normalized value obtained in S12 by the weight in S13 to obtain the standardized value of the kinematic viscosity.

[0052] Further, the second normalization module is further used for:

[0053] S21: Collect the acid value of the main gear oil of the fan to obtain real-time acid value data;

[0054] S22: Divide the real-time acid value data of the main gear oil of the fan by the warning value set in the regulation standard for the acid value to obtain the normalized value of this data;

[0055] S23: The weight of the acid value of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0056] S24: Multiply the normalized value obtained in S22 by the weight in S23 to obtain the standardized value of the acid value.

[0057] Further, the third normalization module is further configured to:

[0058] S31: Collect the real-time data of different elements in the wear elements of the main gear oil of the fan, that is, the elemental mass content in the gear oil sample, unit mg / kg; the wear elements include aluminum, iron, copper, lead, chromium, molybdenum, manganese, sodium, and magnesium.

[0059] S32: Preprocess the real-time data of different elements in the wear elements. Divide the real-time data of aluminum by the warning value of 10 mg / kg set for aluminum in the regulation standard to obtain the normalization value of aluminum. Divide the real-time data of iron by the warning value of 70 mg / kg set for iron in the regulation standard to obtain the normalization value of iron. Divide the real-time data of copper by the warning value of 10 mg / kg set for copper in the regulation standard to obtain the normalization value of copper. Divide the real-time data of lead by the warning value of 15 mg / kg set for lead in the regulation standard to obtain the normalization value of lead. Divide the real-time data of chromium by the warning value of 10 mg / kg set for chromium in the regulation standard to obtain the normalization value of chromium. Divide the real-time data of molybdenum by the warning value of 30 mg / kg set for molybdenum in the regulation standard to obtain the normalization value of molybdenum. Divide the real-time data of manganese by the warning value of 10 mg / kg set for manganese in the regulation standard to obtain the normalization value of manganese. Divide the real-time data of sodium by the warning value of 15 mg / kg set for sodium in the regulation standard to obtain the normalization value of sodium. Divide the real-time data of magnesium by the warning value of 10 mg / kg set for magnesium in the regulation standard to obtain the normalization value of magnesium.

[0060] S33: Divide the sum of the normalization values of each element by the number of element types to obtain the normalization value of the wear elements.

[0061] S34: The weight of the wear elements of the main gear oil of the fan accounts for 0.2 in the total weight of the deterioration index.

[0062] S35: Multiply the normalization value obtained in S33 by the weight in S34 to obtain the standardized value of the wear elements.

[0063] Further, the fourth normalization module is further configured to:

[0064] S41: Collect the real-time data of different elements in the additive dissolution elements of the main gear oil of the fan, that is, the elemental mass content in the gear oil sample, unit mg / kg; the additive dissolution elements include boron, calcium, phosphorus, and silicon.

[0065] S42: Divide the real-time data of different elements in the additive dissolution elements by the new oil data to obtain the change deviation value of the dissolution elements, and divide this deviation value by 15% to obtain the calculated value of each element.

[0066] S43: Divide the sum of the calculated values of each element by the number of element types to obtain the normalized value of the additive-dissolved elements of the main gear oil of the fan;

[0067] S44: The weight of the additive-dissolved elements of the main gear oil of the fan accounts for 0.2 in the total weight of the deterioration indicators;

[0068] S45: Multiply the normalized value obtained in S43 by the weight in S44 to obtain the standardized value of the additive-dissolved elements.

[0069] Furthermore, the deterioration diagnosis module is also used for:

[0070] S51: Judge the deterioration index DI to determine whether DI < 0.4 is satisfied. If it is satisfied, the main gear oil of the fan has not deteriorated and the equipment is operating normally. If not, enter S52; the deterioration index DI is the sum of the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear elements, and the standardized value of the additive-dissolved elements;

[0071] S52: Judge the deterioration index DI to determine whether 0.4 ≤ DI < 0.7 is satisfied. If it is satisfied, the deterioration abnormal level is the beginning of deterioration. If not, enter S53;

[0072] S53: Judge the deterioration index DI to determine whether 0.7 ≤ DI < 0.9 is satisfied. If it is satisfied, the deterioration abnormal level is deterioration. If not, enter S54;

[0073] S54: Judge the deterioration index DI to determine whether DI ≥ 0.9 is satisfied. If it is satisfied, the deterioration abnormal level is severe deterioration.

[0074] The advantages of the present invention are as follows:

[0075] (1) The diagnostic method of the present invention only collects the kinematic viscosity, acid value, wear elements, and additive-dissolved elements of the main gear oil of the fan. The collected data are all easy-to-collect data of the main gear oil of the fan, and the types and amounts of the collected data are relatively small, with a small calculation amount. Therefore, the overall diagnosis time is short, the efficiency is high, the abnormality of the main gear oil of the fan is diagnosed, the fault type is determined, thereby improving the safety of the fan, and further ensuring the stable and safe operation of the entire fan. Secondly, the present invention fully considers the important influencing factors in the diagnosis of the deterioration of the main gear oil of the fan, that is, the kinematic viscosity, acid value, wear elements of the main gear oil of the fan, and additive-dissolved elements of the main gear oil of the fan. The important influencing factors account for a large proportion, and the indicators such as wear particles, acid value, and viscosity that the fan gear oil pays more attention to are considered, which is applicable to the deterioration diagnosis of the main gear oil of the fan, so the diagnosis result is highly accurate.

[0076] (2) The diagnostic method of the present invention performs simple normalization on the collected data and then weights it to obtain a standardized value. Then, according to the sum of the standardized values (deterioration index DI), the deterioration situation is judged. The calculation steps are simple and the amount of calculation is small. Therefore, overall, due to the advantages of data collection and calculation, the present invention has high diagnostic efficiency, can quickly output diagnostic results, and is more suitable for the fan main gear oil deterioration diagnosis scenario with high requirements for diagnostic efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 It is a flowchart of a diagnostic method for deterioration of main gear oil of a fan disclosed in Embodiment 1 of the present invention;

[0078] Figure 2 It is a flowchart of S1 in the diagnostic method for deterioration of main gear oil of a fan disclosed in Embodiment 1 of the present invention;

[0079] Figure 3 It is a flowchart of S2 in the diagnostic method for deterioration of main gear oil of a fan disclosed in Embodiment 1 of the present invention;

[0080] Figure 4 It is a flowchart of S3 in the diagnostic method for deterioration of main gear oil of a fan disclosed in Embodiment 1 of the present invention;

[0081] Figure 5 It is a flowchart of S4 in the diagnostic method for deterioration of main gear oil of a fan disclosed in Embodiment 1 of the present invention;

[0082] Figure 6 It is a flowchart of S5 in the diagnostic method for deterioration of main gear oil of a fan disclosed in Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0083] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0084] Embodiment 1

[0085] As Figure 1 shown, Embodiment 1 of the present invention provides a diagnostic method for deterioration of main gear oil of a fan, including the following steps:

[0086] S1: Real-time data collection and extraction of the kinematic viscosity of the main gear oil of the fan, and the specific steps are as Figure 2 shown:

[0087] S11: Collect the kinematic viscosity of the main gear oil of the fan to obtain real-time kinematic viscosity data;

[0088] S12: Preprocess the real-time kinematic viscosity data of the main gear oil of the fan, and divide the real-time data by the warning value set in the regulation standard for the kinematic viscosity to obtain the normalized value of this data;

[0089] S13: The weight of the kinematic viscosity of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0090] S14: Multiply the normalized value obtained in S12 by the weight in S13 to obtain the standardized value of the kinematic viscosity.

[0091] S2: Real-time data collection and extraction of the acid value of the main gear oil of the fan. The specific steps are as Figure 3 shown:

[0092] S21: Collect the acid value of the main gear oil of the fan to obtain real-time acid value data;

[0093] S22: Preprocess the real-time acid value data of the main gear oil of the fan, and divide the real-time data by the warning value set in the regulation standard for the acid value to obtain the normalized value of this data;

[0094] S23: The weight of the acid value of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0095] S24: Multiply the normalized value obtained in S22 by the weight in S23 to obtain the standardized value of the acid value.

[0096] S3: Real-time data collection and extraction of the wear elements of the main gear oil of the fan. The specific steps are as Figure 4 shown:

[0097] S31: Collect the real-time data of different elements in the wear elements of the main gear oil of the fan, that is, the element mass content in the gear oil sample, unit mg / kg; the wear elements include aluminum, iron, copper, lead, chromium, molybdenum, manganese, sodium, magnesium;

[0098] S32: Preprocess the real-time data of different elements in the wear elements. Divide the real-time data of aluminum by the warning value of 10 mg / kg set for aluminum in the regulation standard to obtain the normalized value of aluminum. Divide the real-time data of iron by the warning value of 70 mg / kg set for iron in the regulation standard to obtain the normalized value of iron. Divide the real-time data of copper by the warning value of 10 mg / kg set for copper in the regulation standard to obtain the normalized value of copper. Divide the real-time data of lead by the warning value of 15 mg / kg set for lead in the regulation standard to obtain the normalized value of lead. Divide the real-time data of chromium by the warning value of 10 mg / kg set for chromium in the regulation standard to obtain the normalized value of chromium. Divide the real-time data of molybdenum by the warning value of 30 mg / kg set for molybdenum in the regulation standard to obtain the normalized value of molybdenum. Divide the real-time data of manganese by the warning value of 10 mg / kg set for manganese in the regulation standard to obtain the normalized value of manganese. Divide the real-time data of sodium by the warning value of 15 mg / kg set for sodium in the regulation standard to obtain the normalized value of sodium. Divide the real-time data of magnesium by the warning value of 10 mg / kg set for magnesium in the regulation standard to obtain the normalized value of magnesium;

[0099] S33: Divide the sum of the normalized values of each element by the number of element types to obtain the normalized value of the wear elements;

[0100] S34: The weight of the wear elements of the main gear oil of the fan accounts for 0.2 in the total weight of the deterioration indicators;

[0101] S35: Multiply the normalized value obtained in S33 by the weight in S34 to obtain the standardized value of the wear elements.

[0102] S4: Collect and extract the real-time data of the additive dissolution elements of the main gear oil of the fan. The specific steps are as Figure 5 shown:

[0103] S41: Collect the real-time data of different elements in the additive dissolution elements of the main gear oil of the fan, that is, the element mass content in the gear oil sample, unit mg / kg; the additive dissolution elements include boron, calcium, phosphorus, and silicon;

[0104] S42: Preprocess the real-time data of different elements in the additive dissolution elements. Divide the real-time data by the new oil data to obtain the change deviation value of the dissolution elements. Divide this deviation value by 15% to obtain the calculated value;

[0105] S43: Divide the sum of the calculated values of each element by the number of element types to obtain the normalized value of the additive dissolution elements;

[0106] S44: The weight of the additive dissolution elements of the main gear oil of the fan accounts for 0.2 in the total weight of the deterioration indicators;

[0107] S45: Multiply the normalized value obtained in S43 by the weight in S44 to obtain the standardized value of the additive dissolution element.

[0108] S5: Judge whether the main gear oil of the fan is deteriorated and determine the deterioration abnormal level. The specific rules are shown in Table 1: As Figure 6 shown, the detailed process is as follows:

[0109] S51: The deterioration index DI is the sum of the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear element, and the standardized value of the additive dissolution element; judge DI to determine whether DI < 0.4 is satisfied. If it is satisfied, the main gear oil of the fan has not deteriorated and the equipment runs normally. If not, enter S52;

[0110] S52: Judge DI to determine whether DI ≥ 0.4 and DI < 0.7 are satisfied. If it is satisfied, the deterioration abnormal level is the beginning of deterioration. If not, enter S53;

[0111] S53: Judge DI to determine whether DI ≥ 0.7 and DI < 0.9 are satisfied. If it is satisfied, the deterioration abnormal level is deterioration. If not, enter S54;

[0112] S54: Judge DI to determine whether DI ≥ 0.9 is satisfied. If it is satisfied, the deterioration abnormal level is severe deterioration.

[0113] S55: Analyze the reasons for the deterioration of the main gear oil of the fan, determine the indicators causing the deterioration of the main gear oil of the fan, and propose recommended measures.

[0114] Table 1 Deterioration level determination rules for the main gear oil of the fan

[0115]

[0116]

[0117] Through the above technical solutions, the diagnostic method provided by the present invention strengthens the operator's judgment of the abnormality, ensures the accurate positioning of the abnormal indicators, abnormal reasons, treatment measures and department responsibilities. Through this method, the operation risk of the fan can be effectively reduced, and the safety of the equipment system and the operation stability of the fan are improved.

[0118] Embodiment 2

[0119] Based on Embodiment 1, Embodiment 2 of the present invention further provides a diagnostic system for the deterioration of the main gear oil of a fan, including:

[0120] The first normalization module is used to collect real-time data of the kinematic viscosity of the main gear oil of the fan, perform normalization processing and weighting to obtain the standardized value of the kinematic viscosity;

[0121] The second normalization module is used to collect real-time data of the acid value of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the acid value;

[0122] The third normalization module is used to collect real-time data of the wear elements of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the wear elements;

[0123] The fourth normalization module is used to collect real-time data of the additive dissolution elements of the main gear oil of the fan, and perform normalization processing and weighting to obtain the standardized value of the additive dissolution elements;

[0124] The deterioration diagnosis module is used to determine the deterioration index according to the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear elements, and the standardized value of the additive dissolution elements, and judge whether the main gear oil of the fan deteriorates and the abnormal level of oil deterioration.

[0125] Specifically, the first normalization module is further used for:

[0126] S11: Collect the kinematic viscosity of the main gear oil of the fan to obtain real-time kinematic viscosity data;

[0127] S12: Divide the real-time kinematic viscosity data of the main gear oil of the fan by the warning value set in the regulation standard of the kinematic viscosity to obtain the normalized value of this data;

[0128] S13: The weight of the kinematic viscosity of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0129] S14: Multiply the normalized value obtained in S12 by the weight in S13 to obtain the standardized value of the kinematic viscosity.

[0130] Specifically, the second normalization module is further used for:

[0131] S21: Collect the acid value of the main gear oil of the fan to obtain real-time acid value data;

[0132] S22: Divide the real-time acid value data of the main gear oil of the fan by the warning value set in the regulation standard of the acid value to obtain the normalized value of this data;

[0133] S23: The weight of the acid value of the main gear oil of the fan accounts for 0.3 in the total weight of the deterioration index;

[0134] S24: Multiply the normalized value obtained in S22 by the weight in S23 to obtain the standardized value of the acid value.

[0135] Specifically, the third normalization module is further used for:

[0136] S31: Collect real-time data of different elements in the wear elements of the main gear oil of the fan, that is, the element mass content in the gear oil sample, with the unit of mg / kg; the wear elements include aluminum, iron, copper, lead, chromium, molybdenum, manganese, sodium, and magnesium.

[0137] S32: Preprocess the real-time data of different elements in the wear elements. Divide the real-time data of aluminum by the warning value of 10 mg / kg set for aluminum in the regulation standard to obtain the normalized value of aluminum. Divide the real-time data of iron by the warning value of 70 mg / kg set for iron in the regulation standard to obtain the normalized value of iron. Divide the real-time data of copper by the warning value of 10 mg / kg set for copper in the regulation standard to obtain the normalized value of copper. Divide the real-time data of lead by the warning value of 15 mg / kg set for lead in the regulation standard to obtain the normalized value of lead. Divide the real-time data of chromium by the warning value of 10 mg / kg set for chromium in the regulation standard to obtain the normalized value of chromium. Divide the real-time data of molybdenum by the warning value of 30 mg / kg set for molybdenum in the regulation standard to obtain the normalized value of molybdenum. Divide the real-time data of manganese by the warning value of 10 mg / kg set for manganese in the regulation standard to obtain the normalized value of manganese. Divide the real-time data of sodium by the warning value of 15 mg / kg set for sodium in the regulation standard to obtain the normalized value of sodium. Divide the real-time data of magnesium by the warning value of 10 mg / kg set for magnesium in the regulation standard to obtain the normalized value of magnesium.

[0138] S33: Divide the sum of the normalized values of each element by the number of element types to obtain the normalized value of the wear elements.

[0139] S34: The proportion of the weight of the wear elements of the main gear oil of the fan in the total weight of the deterioration index is 0.2.

[0140] S35: Multiply the normalized value obtained in S33 by the weight in S34 to obtain the standardized value of the wear elements.

[0141] Specifically, the fourth normalization module is also used for:

[0142] S41: Collect real-time data of different elements in the additive dissolution elements of the main gear oil of the fan, that is, the element mass content in the gear oil sample, with the unit of mg / kg; the additive dissolution elements include boron, calcium, phosphorus, and silicon.

[0143] S42: Divide the real-time data of different elements in the additive dissolution elements by the new oil data to obtain the change deviation value of the dissolution elements, and divide this deviation value by 15% to obtain the calculated value of each element.

[0144] S43: Divide the sum of the calculated values of each element by the number of element types to obtain the normalized value of the additive dissolution elements.

[0145] S44: The weight of the additive dissolution elements of the main gear oil of the fan accounts for 0.2 in the total weight of the deterioration index;

[0146] S45: Multiply the normalized value obtained in S43 by the weight in S44 to obtain the standardized value of the additive dissolution elements.

[0147] Specifically, the deterioration diagnosis module is further configured to:

[0148] S51: Judge the deterioration index DI to determine whether DI < 0.4 is satisfied. If it is satisfied, the main gear oil of the fan has not deteriorated and the equipment is operating normally. If not, enter S52; the deterioration index DI is the sum of the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear elements, and the standardized value of the additive dissolution elements;

[0149] S52: Judge the deterioration index DI to determine whether 0.4 ≤ DI < 0.7 is satisfied. If it is satisfied, the deterioration abnormal level is the beginning of deterioration. If not, enter S53;

[0150] S53: Judge the deterioration index DI to determine whether 0.7 ≤ DI < 0.9 is satisfied. If it is satisfied, the deterioration abnormal level is deterioration. If not, enter S54;

[0151] S54: Judge the deterioration index DI to determine whether DI ≥ 0.9 is satisfied. If it is satisfied, the deterioration abnormal level is severe deterioration.

[0152] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for diagnosing deterioration of fan main gear oil, characterized in that: The following steps are involved: S1: Real-time data collection of the kinematic viscosity of the fan main gear oil is performed, and normalization and weighting are performed to obtain the standardized value of the kinematic viscosity; S2: Real-time data collection of the acid value of the fan main gear oil is performed, and normalization and weighting are performed to obtain a standardized value of the acid value; S3: Real-time data collection of wear elements of the fan main gear oil is performed, and normalization and weighting are performed to obtain standardized values ​​of the wear elements; S4: real-time data collection of dissolved elements of the fan main gear oil additive is performed, and normalization and weighting are performed to obtain standardized values ​​of dissolved elements of the additive; S5: Determine a degradation index according to the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear element, and the standardized value of the additive elution element, and judge whether the fan main gear oil is degraded and the abnormal level of oil degradation.

2. A method for diagnosing deterioration of a fan main gear oil according to claim 1, characterized in that: The S1 includes: S11: collecting the kinematic viscosity of the main gear oil of the fan to obtain real-time kinematic viscosity data; S12: The real-time data of the kinematic viscosity of the main gear oil of the fan is divided by the warning value of the kinematic viscosity set in the regulations and standards to obtain a normalized value of the data; S13: The weight of the kinematic viscosity of the fan main gear oil accounts for 0.3 of the total weight of the degradation index; S14: Multiply the normalized value obtained in S12 by the weight in S13 to obtain the normalized value of kinematic viscosity.

3. A method for diagnosing deterioration of a fan main gear oil according to claim 1, characterized in that: The S2 includes: S21: collecting the acid value of the fan main gear oil to obtain real-time data of the acid value; S22: The real-time data of the acid value of the fan main gear oil is divided by the warning value of the acid value set in the regulations and standards to obtain a normalized value of the data; S23: The weight of the acid value of the fan main gear oil accounts for 0.3 of the total weight of the degradation index; S24: Multiply the normalized value obtained in S22 by the weight in S23 to obtain a standardized value of the acid value.

4. A method for diagnosing deterioration of a fan main gear oil according to claim 1, characterized in that: The S3 includes: S31: collecting real-time data of different elements in the wear elements of the main gear oil of the fan, that is, the mass content of the wear elements of the main gear oil in the gear oil sample, in units of mg / kg; the wear elements include aluminum, iron, copper, lead, chromium, molybdenum, manganese, sodium, and magnesium; S32: preprocessing the real-time data of different elements in the wear elements, dividing the real-time data of aluminum by the warning value of aluminum set in the regulations and standards, 10 mg / kg, to obtain the normalized value of aluminum, dividing the real-time data of iron by the warning value of iron set in the regulations and standards, 70 mg / kg, to obtain the normalized value of iron, dividing the real-time data of copper by the warning value of copper set in the regulations and standards, 10 mg / kg, to obtain the normalized value of copper, dividing the real-time data of lead by the warning value of lead set in the regulations and standards, 15 mg / kg, to obtain the normalized value of lead, dividing the real-time data of chromium by the warning value of lead set in the regulations and standards, 15 mg / kg, to obtain the normalized value of lead, dividing the real-time data of chromium by the warning value of lead set in the regulations and standards, 10 ... Divide the real-time data of molybdenum by the warning value of 10 mg / kg set in the regulations and standards to obtain the normalized value of chromium, divide the real-time data of molybdenum by the warning value of 30 mg / kg set in the regulations and standards to obtain the normalized value of molybdenum, divide the real-time data of manganese by the warning value of 10 mg / kg set in the regulations and standards to obtain the normalized value of manganese, divide the real-time data of sodium by the warning value of 15 mg / kg set in the regulations and standards to obtain the normalized value of sodium, and divide the real-time data of magnesium by the warning value of 10 mg / kg set in the regulations and standards to obtain the normalized value of magnesium; S33: dividing the sum of the normalized values ​​of each element by the number of element types to obtain the normalized value of the wear element; S34: The weight of the wear element of the fan main gear oil accounts for 0.2 of the total weight of the degradation index; S35: Multiply the normalized value obtained in S33 by the weight in S34 to obtain the standardized value of the wear element.

5. A method for diagnosing deterioration of a fan main gear oil according to claim 1, characterized in that: The S4 includes: S41: collecting real-time data of different elements dissolved in the main gear oil additive of the fan, that is, the mass content of the main gear oil additive dissolved elements in the gear oil sample, in units of mg / kg; the additive dissolved elements include boron, calcium, phosphorus, and silicon; S42: Divide the real-time data of different elements in the additive dissolution elements by the new oil data to obtain the variation deviation value of the dissolution elements, and divide the deviation value by 15% to obtain the calculated value of each element; S43: Dividing the sum of the calculated values ​​of each element by the number of element types to obtain a normalized value of the element dissolved from the additive; S44: The weight of the additive leaching elements of the fan main gear oil accounts for 0.2 of the total weight of the degradation index; S45: Multiply the normalized value obtained in S43 by the weight in S44 to obtain the standardized value of the additive leached element.

6. A method for diagnosing deterioration of main gear oil of a fan according to claim 1, characterized in that: The S5 includes: S51: Determine whether the degradation index DI satisfies DI<0.

4. If so, the fan main gear oil is not degraded and the equipment operates normally. If not, enter S52. The degradation index DI is the sum of the standardized value of kinematic viscosity, the standardized value of acid value, the standardized value of wear elements and the standardized value of additive leaching elements. S52: Determine whether the degradation index DI satisfies DI≥0.4 and DI<0.

7. If so, the degradation abnormality level is the beginning of degradation. If not, proceed to S53. S53: Determine whether the degradation index DI satisfies DI≥0.7 and DI<0.

9. If so, the degradation abnormality level is degradation. If not, proceed to S54. S54: Determine whether the degradation index DI satisfies DI≥0.

9. If so, the degradation abnormality level is severe degradation.

7. A diagnostic system for deterioration of main gear oil of a fan, characterized in that: include: The first normalization module is used to collect real-time data of the kinematic viscosity of the fan main gear oil, and perform normalization processing and weighting to obtain a standardized value of the kinematic viscosity; The second normalization module is used to collect real-time data of the acid value of the fan main gear oil, and perform normalization processing and weighting to obtain a standardized value of the acid value; The third normalization module is used to collect real-time data of the wear elements of the fan main gear oil, and perform normalization processing and weighting to obtain the standardized value of the wear elements; The fourth normalization module is used to collect real-time data of the dissolved elements of the fan main gear oil additive, and perform normalization processing and weighting to obtain the standardized value of the dissolved elements of the additive; The degradation diagnosis module is used to determine the degradation index according to the standardized value of the kinematic viscosity, the standardized value of the acid value, the standardized value of the wear element and the standardized value of the additive leaching element, and judge whether the fan main gear oil is degraded and the abnormal level of oil degradation.

8. A system for diagnosing deterioration of main gear oil of a fan according to claim 7, characterized in that: The first normalization module is also used for: S11: collecting the kinematic viscosity of the main gear oil of the fan to obtain real-time kinematic viscosity data; S12: The real-time data of the kinematic viscosity of the main gear oil of the fan is divided by the warning value of the kinematic viscosity set in the regulations and standards to obtain a normalized value of the data; S13: The weight of the kinematic viscosity of the fan main gear oil accounts for 0.3 of the total weight of the degradation index; S14: Multiply the normalized value obtained in S12 by the weight in S13 to obtain the normalized value of kinematic viscosity.

9. A system for diagnosing deterioration of main gear oil of a fan according to claim 7, characterized in that: The second normalization module is also used for: S21: collecting the acid value of the fan main gear oil to obtain real-time data of the acid value; S22: The real-time data of the acid value of the fan main gear oil is divided by the warning value of the acid value set in the regulations and standards to obtain a normalized value of the data; S23: The weight of the acid value of the fan main gear oil accounts for 0.3 of the total weight of the degradation index; S24: Multiply the normalized value obtained in S22 by the weight in S23 to obtain a standardized value of the acid value.

10. A system for diagnosing deterioration of main gear oil of a fan according to claim 7, characterized in that: The third normalization module is also used for: S31: collecting real-time data of different elements in the wear elements of the main gear oil of the fan, that is, the mass content of the wear elements of the main gear oil in the gear oil sample, in units of mg / kg; the wear elements include aluminum, iron, copper, lead, chromium, molybdenum, manganese, sodium, and magnesium; S32: preprocessing the real-time data of different elements in the wear elements, dividing the real-time data of aluminum by the warning value of aluminum set in the regulations and standards, 10 mg / kg, to obtain the normalized value of aluminum, dividing the real-time data of iron by the warning value of iron set in the regulations and standards, 70 mg / kg, to obtain the normalized value of iron, dividing the real-time data of copper by the warning value of copper set in the regulations and standards, 10 mg / kg, to obtain the normalized value of copper, dividing the real-time data of lead by the warning value of lead set in the regulations and standards, 15 mg / kg, to obtain the normalized value of lead, dividing the real-time data of chromium by the warning value of lead set in the regulations and standards, 15 mg / kg, to obtain the normalized value of lead, dividing the real-time data of chromium by the warning value of lead set in the regulations and standards, 10 ... Divide the real-time data of molybdenum by the warning value of 10 mg / kg set in the regulations and standards to obtain the normalized value of chromium, divide the real-time data of molybdenum by the warning value of 30 mg / kg set in the regulations and standards to obtain the normalized value of molybdenum, divide the real-time data of manganese by the warning value of 10 mg / kg set in the regulations and standards to obtain the normalized value of manganese, divide the real-time data of sodium by the warning value of 15 mg / kg set in the regulations and standards to obtain the normalized value of sodium, and divide the real-time data of magnesium by the warning value of 10 mg / kg set in the regulations and standards to obtain the normalized value of magnesium; S33: dividing the sum of the normalized values ​​of each element by the number of element types to obtain the normalized value of the wear element; S34: The weight of the wear element of the fan main gear oil accounts for 0.2 of the total weight of the degradation index; S35: Multiply the normalized value obtained in S33 by the weight in S34 to obtain the standardized value of the wear element.

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