Provided is an oil deterioration diagnosis device capable of detecting oil deterioration accurately and early in real time during operation of an operating machine without oil sampling. An oil deterioration diagnosis device 10 for a construction machine including an oil hydraulic circuit 1 includes: a floodlight projector 11a configured to irradiate oil flowing through the oil hydraulic circuit 1 with measuring light having a predetermined wave number or wavelength during operation of the construction machine; a photoreceiver 11b configured to receive transmitted light having penetrated the oil; a signal processing unit 11c configured to continuously or intermittently measure absorbance or transmittance; and a diagnosis unit 12 configured to detect a decrease of an antioxidant contained in the oil or an increase of a peroxide contained in the oil, based on changes in the absorbance or the transmittance.

A system and method using remote sensing instrument with hyper spectrum quantitatively measure metal dust elements in lubricating oil, which includes (no limited): Al, Cd, Cr, Cu, Fe, Pb, Mg, Mn, Mo, Ni, Ag, Sn, Ti, V, Zn, B (Boron, for Coolant), Ca (Calcium for water contaminant), and particle size, cone penetration, dropping point, steel mesh oil separation, moisture, PQ concentration, in few seconds. The instrument integrates near-field communication (NFC), Internet of Thing (IoT), Cloud computing, spectral matching and other data processing, and application software forming a system to easily operated and build a model enable self-learning to improve precision through collection accumulation. With the system, the instrument as FIG. 1 can provide comprehensive on-site analysis enable preventive maintenance of mission critical engine and rotating equipment. The characteristics of the system are easy to operate, get result quickly, and self-learning to improve precision.

A process for detecting oil or lubricant contamination in the production of an article by adding a Stokes-shifting taggant to an oil or lubricant of a machine utilized to produce the article or a component thereof, irradiating the articles produced with a first wavelength of radiation, and monitoring the articles for emission of radiation at a second wavelength. The taggant can be in the form of a composition containing a Stokes-shifting taggant, which absorbs radiation at a first wavelength and emits radiation at a second wavelength, different from said first wavelength, dissolved or dispersed in an oil or lubricant.

Monitoring apparatus for monitoring a condition of an aqueous metalworking fluid comprised of water and a lubricant, of a metalworking fluid circuit of a metalworking machine, wherein the at least one measurement element of the apparatus is remote from the metalworking fluid circuit. Method for determining a condition of a metalworking fluid, and, when required, to add water and/or lubricant to the metalworking fluid circuit.

A management method of a lubricating oil of the invention is a method of managing a lubricating oil by determining a degradation degree of the lubricating oil containing an antioxidant, specifically, according to determination methods a and b below. The determination method a includes: measuring an infrared ray absorption spectrum of the lubricating oil using a Fourier transform infrared spectrometer; and calculating a total content of the antioxidant and an altered substance having an antioxidant function to determine a deterioration degree of the lubricating oil from the obtained content. The determination method b includes: filtrating the lubricating oil with a filter; subsequently measuring a color difference of substances captured by the filter using a colorimeter, or measuring a color difference of the lubricating oil using the colorimeter; and determining a degradation degree of the lubricating oil and a mixture degree of foreign substances based on the obtained color difference.

A method and a system for monitoring a mechanical system, the mechanical system including a lubrication system provided with a reservoir containing a lubricating liquid, with a lubrication circuit designed to lubricate the mechanical system, as well as with a particle detection device arranged in the lubrication circuit. The detection device makes it possible, in particular, to count the number of particles flowing through the lubrication circuit and/or the flow rate of the particles. Comparing that number or that flow rate with a first threshold makes it possible to determine a risk of damage affecting the mechanical system and to anticipate the maintenance or reinforced monitoring operations that possibly need to be performed.

A method and system for diagnosing a condition of an air-breathing aircraft engine are described. The method comprises obtaining a sample of lubricating fluid from the engine, filtering the sample to obtain a plurality of particles from the lubricating fluid, obtaining chemical composition data for the plurality of particles, determining a quantity of volcanic ash in the lubricating fluid by considering each one of the particles as composed partially of volcanic ash and partially of at least one other material and determining a first percentage of surface area of the particles covered by the volcanic ash and a second percentage of the surface area of the particles covered by the at least one other material, the volcanic ash having associated thereto a predetermined chemical composition, and diagnosing a condition of the engine based on the quantity of volcanic ash found in the lubricating fluid.

Embodiments herein relate to oil condition sensing systems and related methods. In a first aspect, an oil condition sensing system is included having a control circuit, a temperature sensor, and a fluid property sensor, wherein the fluid property sensor measures fluid properties including at least dielectric constant and the oil condition sensing system is configured to automatically detect when an oil change event has occurred, record the fluid property sensor data as new baseline fluid property data after an oil change event has occurred, and evaluate the condition of an engine oil based on a comparison with the baseline fluid property data. The oil condition sensing system can be configured to automatically detect the oil change event by evaluating signals from the fluid property sensor and interpret a change in dielectric constant and/or viscosity crossing a threshold value as an oil change event. Other embodiments are also included herein.

A method for actively calculating and monitoring the oil debris monitor phase angle includes sensing a noise from an in-line oil debris monitor sensor in an oil flow path, generating a polar plot of an I and Q channel data from only the noise. Linear regression of noise is then utilized from the I and Q channel data for calculating a slope of regression form the linear regression and converting the slope to a phase angle.

An improved system and apparatus for testing thermal fluids in which the condition of a heat transfer fluid is measured. The system includes a sample vessel with a sample inlet for receiving a sample of heat transfer fluid from the heat transfer system and a sample outlet for returning the sample of heat transfer fluid to the heat transfer system, a heat transfer fluid condition monitor in fluid contact with the sample vessel measures one or more physical parameters of the heat transfer fluid and a control system which controls operation of the condition monitor and the sample vessel and which analyses the measured physical parameters of the heat transfer fluid. The system provides for predictive maintenance which is significantly more cost effective than preventative maintenance. It also ensures, as far as possible, that preventative maintenance can also be carried out while the system is running in normal production mode.