Lubrication oil condition monitoring and remaining useful life prediction with particle filtering (original) (raw)

CONDITION MONITORING OF LUBRICANTS USING WEAR DEBRIS ANALYSIS

Condition monitoring or predictive maintenance is the most commonly used technique to eliminate the failure of a machine and thereby increasing production time. This is a non-destructive method to foresee the problems within the machine well in advance. There area number of valid techniques available for condition monitoring. In this work a device has been fabricated and tested to identify the wearer particles which are present in the lubricating oil. Oil samples are collected at a regular intervals and tested for presence of worn out particles and hence leading to health assessment of the machine. The worn out particles both ferrous and non-ferrous can be identified with a photo diode which in turn activate a LED and also a circuit to give sound alarm. The device can also detect the ferrous particles with the help of a magnet, which encloses the oil tube.

Monitoring the Oil of Wind-Turbine Gearboxes: Main Degradation Indicators and Detection Methods

Machines

Oil condition monitoring is a common practice in the wind industry. However, the published research about oil degradation in wind turbine gearboxes is limited. This paper aims at providing new information on the oil degradation process by analyzing wind turbine gearbox oils aged in the laboratory and in the field. Oil samples were analyzed in the laboratory and two sensors were used to determine the oil condition by means of dielectric constant and conductivity measurements. Additionally, micropitting tests were carried out for three oils with different base stocks. The results of this study show that viscosity changes of the oils from the field were not significant.Extreme pressure additives depletion and the increase of the iron content are among the most relevant degradation indicators. The oil sensors used in this study provided limited information on the oil degradation process. The accuracy of the sensors was affected by the oil type and its measurement range. The results of the micropitting tests showed that even aged oils exhibited a high micropitting resistance.

Lubricating oil conditioning sensors for online machine health monitoring – A review

Tribology International, 2017

Analysis of lubricating oil is an effective approach in judging machine's health condition and providing early warning of machine's failure progression. Many studies from both academia and industry have been conducted. This paper presents a comprehensive review of the state-of-the-art online sensors for measuring lubricant properties (e.g. wear debris, water, viscosity, aeration, soot, corrosion, and sulfur content). These online sensors include single oil property sensors based on capacitive, inductive, acoustic, and optical sensing and integrated sensors for measuring multiple oil properties. Advantages and disadvantages of each sensing method, as well as the challenges for future developments, are discussed. Research priorities are defined to address the industry needs of machine health monitoring.

Survey of lubrication oil condition monitoring, diagnostics, prognostics techniques and systems

Recently, an increasing demand for performance assessment of lubrication oil has been noticed. Considerable techniques and systems in lubrication oil condition monitoring have been developed and successfully utilized in many applications such as gasoline/diesel engines, gearboxes, etc. This paper provides a comprehensive review of the existing lubrication oil condition monitoring solutions and their characteristics along with the classification and evaluation of each technique. The reviewed techniques are analyzed and classified into four categories: electrical (magnetic), physical, chemical, and optical techniques. The characteristic of each solution and its sensing technique is evaluated with a set of properties which are crucial for oil health monitoring, diagnostics and prognostics. A comprehensive comparison among a wide range of different lubrication oil condition monitoring solutions is conducted.

Survey of lubrication oil condition monitoring, diagnostics, and prognostics techniques and systems

Recently, an increasing demand for performance assessment of lubrication oil has been noticed. Considerable techniques and systems in lubrication oil condition monitoring have been developed and successfully utilized in many applications such as gasoline/diesel engines, gearboxes, etc. This paper provides a comprehensive review of the existing lubrication oil condition monitoring solutions and their characteristics along with the classification and evaluation of each technique. The reviewed techniques are analyzed and classified into four categories: electrical (magnetic), physical, chemical, and optical techniques. The characteristic of each solution and its sensing technique is evaluated with a set of properties which are crucial for oil health monitoring, diagnostics and prognostics. A comprehensive comparison among a wide range of different lubrication oil condition monitoring solutions is conducted.

Development of a Novel Wear Detection System for Wind Turbine Gearboxes

IEEE Sensors Journal, 2000

This paper presents a low-cost, inline, gearbox lubrication monitoring sensor. The purpose of the research was to develop a sensor that can analyze wear particles suspended in gearbox lubricant systems. Current inline sensor systems rely on methods that prevent significant morphological classification. The size and shape of the particles are often indicative of the type of wear that is occurring and is therefore significant in assessing the gearbox state. A demonstration sensor consisting of a webcam that uses an active pixel sensor combined with a rectangular cross section optically transparent acrylic pipe was developed. A rig that simulates a gearbox lubrication system was used to test the sensor. Images of wear particles suspended in the lubricant were captured in real time. Image analysis was then performed to distinguish particles from the lubricant medium. Object characteristics, such as area and major axis length, were used to determine shape parameters. It was found that the sensor could detect particles down to a major axis length of 125 µm. Classification was also demonstrated for four basic shapes: square, circular, rectangular and ellipsoidal. ellipsoidal, was also demonstrated.

TECHNICAL SYSTEM CONDITIONS MONITORING VIA THE LUBRICATING OIL ANALYSIS

TECHNICAL SYSTEM CONDITIONS MONITORING VIA THE LUBRICATING OIL ANALYSIS, 2023

Oil monitoring consists of measuring the condition and changes in the structure and characteristics of engine oil over time of exploration. The tests performed on the oil sample give three pieces of information: the condition of the lubricated system, the type of impurities present, and the condition of the oil itself. The state of the system is defined by the number and type of particles, as well as by the change of these parameters with time. The condition of the oil is mostly defined by changes in viscosity, decrement in additives amount, contamination, etc. Proper oil monitoring enables an optimization of the working life of the lubricated system. Namely, the main cause of failure in the lubricated system is the presence of abrasive particles in the oil, which are often products of wear. Therefore, an analysis of wear and contamination must be performed, and the damage and cause of failure must be determined. Considering that it is impossible to eliminate wear, it is necessary to define the critical values of wear for the operation of the system and find the main causes of wear. Intensive wear occurs with an increase in the number of large particles in the entire fluid volume, while in normal wear the particles are of small dimensions. The material from which the particles are made is also of great importance, through which we can determine the origin of the abrasive. Zn, Ca, Ba and Mg indicate the consumption of additives. Fe, Pb, Cu, Cr, Ag, Sn, Mn, and Al indicate wear. Penetration of the coolant into the lubricating oil is indicated with the appearance of Na and B, and the increased content of Ca and Si indicates the contact of the oil with air or malfunction of the air filter. Oil sampling must be carried out exactly in a certain way and on a certain part of the system through which the oil flows. Worn particles tend to settle to the bottom of the oil tank, larger particles settle faster and smaller ones more slowly. If we take a sample by simply draining the oil from the reservoir, we can get an unrealistic picture of the actual condition of the lubricated system.

In-service Condition Monitoring of Turbine Oils

2013

TutorialIn-service Turbine Oil analysis is an integral part of any Condition Based Maintenance Program and is a vital step in building an effective lubrication strategy. Used correctly, oil analysis on large machinery and engines not only provides valuable information about the performance of lubricating oil as well as the condition of the equipment but is also a valuable predictive and proactive tool in ensuring that equipment reliability is optimized and lubrication-related failures are minimized. However, in order to ensure continued success, it is important not only to setup the program properly, but also to review the program periodically to ensure that the program structure meets the stated reliability goals of the organization. The practice of turbine oil analysis has drastically changed from its original inception in the industry. In today’s computer and information age, oil analysis has evolved into a mandatory tool in a Plant’s Predictive Maintenance arsenal. As a predicti...

Demonstration of Sensor Monitoring of Lubricants

PHM Society Asia-Pacific Conference

Due to the spread of carbon neutral, the effective use of lubricant has been drawing attention. Since the main component of lubricant is petroleum-derived hydrocarbon oil, reducing the amount used by 1 kg will reduce CO2 by approximately 3 kg. The value of CO2 reduction is very important. In order to reduce the amount of lubricant used, there is a movement to reduce the frequency of lubricant exchange or continue to use lubricant without exchanging it. However, it is known that lubricant-induced mechanical failures occur. For this reason, equipment condition monitoring using oil sensors has been spread. The color of the lubricant, also called machine blood, indicates the condition of the machine. The oil sensor measures contamination, which has a fatal effect on machine failure, and oxidation degradation, which is related to the performance of lubricant and the machine failure. Contamination includes water and wear debris, and oxidative degradation includes consumption of additives ...

Design a Condition Monitoring System for Rotating Machinery Gearboxes by Oil Quality Measurements and Vibration Analyses

Control Systems and Optimization Letters, 2023

Every year high costs are expending to repair rotating machinery in factories and industrial centers due to failures. Most failures happen suddenly while by condition monitoring of systems prognosis and diagnosis are possible. By condition monitoring, the failures can be detected and solved in the early stages. Gearboxes are an element used widely, and applying condition monitoring for them makes a significant benefit for saving budget due to prognosis and removing failure before progress. The current paper aims to present a condition monitoring system for gearbox which is able to inspect lubricant by oil temperature and pH. Moreover, it can detect some defects in the gearbox by vibration analyses such as unbalance, bent shaft, looseness in bearing housing, and whirl of oil. The evaluation of the system shows that its accuracy is proper for use in gearboxes.