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.

An environmental testing device includes a heat insulation chamber that includes a test chamber and is formed using a heat insulation panel that is electrically conductible. The heat insulation chamber includes a chamber body having an entrance and a door that opens and closes the entrance. A heat insulation panel forming the chamber body includes an outer panel and an inner panel. A radiation-absorbent material is disposed between the outer panel and the inner panel. The heat insulation panel forming the chamber body and a heat insulation panel forming the door are connected to each other in an electrically conductible manner.

A method according to the disclosure configures a processor to predict metal loss in a structure for remediation. The method uses a machine learning model, trained based upon historical data, to predict metal loss over locations of a structure at a time of the prediction. The method identifies from among the predicted locations a high-risk location on the structure in which a magnitude of metal loss indicates potential remediation being needed, dispatches a robotic vehicle to the high-risk location on the structure and inspects the high-risk location using the robotic vehicle to confirm whether the magnitude of metal loss at the location requires remediation. In further methods, remediation is performed. In still further methods, a three-dimensional visualization of the structure is generated with an overlay which depicts predicted metal loss over the sections of the structure.

An information handling system includes a corrosion controller that may monitor a corrosion sensor array, and determine a type of the corrosion based on a location of a corrosion sensor. The corrosion type may include humidity driven corrosion and non-humidity driven corrosion.

An information handling system includes a corrosion controller that may monitor a corrosion sensor array, and determine a type of the corrosion based on a location of a corrosion sensor. The corrosion type may include humidity driven corrosion and non-humidity driven corrosion.

The present disclosure provides a high-flux sensor suitable for corrosion big data monitoring and a method of manufacturing the same. The sensor includes a first metal sheet, a second metal sheet and an insulating sheet therebetween. The two metal sheets are laminated. The metal sheets and the insulating sheet form a test piece group. A through hole is drilled in the test piece group.

A system, an apparatus and a method for simulating and assessing a damaged corrosion film in a pipe segment for pitting corrosion potential under field conditions, including variations in cathode to anode ratios. The apparatus has an anode case that holds a working electrode, a first body portion attachable to one end of the pipe segment, and a second body portion attachable to another end of the pipe segment, the first and second body portions defining a corrosion simulation cell. The anode case can be contained within the corrosion simulation cell, and the working electrode can include a test matrix.

A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.

A monitoring system includes an array of optical sensors disposed within a transformer tank. Each optical sensor is configured to have an optical output that changes in response to a temperature within the transformer tank. An analyzer is coupled to the array of optical sensors. The analyzer is configured to determine a sensed temperature distribution based on the sensed temperature. The sensed temperature distribution is compared to an expected distribution. Exterior contamination of the transformer tank is detected based on the comparison.

A method and apparatus of detecting incipient corrosion on surfaces of an object. The method comprising immersing the object into an electrolyte, and detecting by electrochemical techniques the presence of corrosion on the surfaces of the object based on current originating from redox reaction of iron.