A method for detecting damage to one or more components of a fluid-conducting device such as a pump assembly, valve or the like uses at least one odor sensor to detect an odor produced by one of the components and transmit an odor profile to an evaluation unit. The evaluation unit compares the odor profile with one or more characteristic odor profiles to determine whether an odor indicative of a degraded component is present. If the detected odor profile matches a characteristic odor profile match, an output signal is generated in an output unit.

A method for detecting damage to one or more components of a fluid-conducting device such as a pump assembly, valve or the like uses at least one odor sensor to detect an odor produced by one of the components and transmit an odor profile to an evaluation unit. The evaluation unit compares the odor profile with one or more characteristic odor profiles to determine whether an odor indicative of a degraded component is present. If the detected odor profile matches a characteristic odor profile match, an output signal is generated in an output unit.

Method for monitoring operation of a technical object, wherein a) a first orientation of the first acceleration sensor in the form of a position vector is determined, b) the mathematical model for operation of the object is generated and trained, c) the first acceleration sensor is disassembled and a three-axle replacement acceleration sensor is assembled with a new orientation on the object, d) acceleration values are detected, e) respective indicator values are calculated from the temporal course of the detected acceleration values of the replacement acceleration sensor, f) a replacement vector is determined from the indicator values and a differential vector between the replacement vector and the position vector of the first acceleration sensor determined in step b) is determined, and g) the model during operation of the object for the position vector in the orientation of the replacement vector is applied by taking into account the differential vector.

An intelligent regulation system for a mechanical seal, the system comprising: a monitoring device for measuring a signal correlated with a seal in real time; a control device, comprising a state determination module, a feasible region analysis module, an evaluation module and an optimizing module, wherein the state determination module unscrambles the signal obtained by the monitoring device to estimate the state of the seal; the feasible region analysis module determines, according to a current state, a state that the seal can reach by means of the regulating effect of a regulating device; the evaluation module evaluates a value for the state of the seal; and the optimizing module searches a feasible region, where the seal is regulated, for a regulating method with a relatively high value to the greatest extent, and accordingly sends an instruction to the regulating device; and the regulating device for actively applying an action to the seal according to the instruction given by the control device.

An intelligent regulation system for a mechanical seal, the system comprising: a monitoring device for measuring a signal correlated with a seal in real time; a control device, comprising a state determination module, a feasible region analysis module, an evaluation module and an optimizing module, wherein the state determination module unscrambles the signal obtained by the monitoring device to estimate the state of the seal; the feasible region analysis module determines, according to a current state, a state that the seal can reach by means of the regulating effect of a regulating device; the evaluation module evaluates a value for the state of the seal; and the optimizing module searches a feasible region, where the seal is regulated, for a regulating method with a relatively high value to the greatest extent, and accordingly sends an instruction to the regulating device; and the regulating device for actively applying an action to the seal according to the instruction given by the control device.

Aspects of the disclosure are directed to a system comprising: a rotatable seal runner, a stationary sealing member that includes a base and a nose that extends from the base in an axial direction and interfaces with the seal runner, a carrier that supports the sealing member, and a tab coupled to the carrier, where the tab extends from the carrier in the axial direction towards the seal runner.

A predictive diagnostics system for monitoring mechanical seals. The system autonomously detects a loss of lubrication within a sliding seal interface of a mechanical seal, the system including a loss of lubrication failure mode logic module configured to monitor data sensed by one or more sensors and diagnose conditions relating to a loss of lubrication within the sliding seal interface, and a plurality of other failure mode logic modules configured to monitor data sensed by the one or more sensors and diagnose conditions relating to specific types of mechanical failures known to occur in mechanical seal systems, the loss of lubrication failure mode logic module configured to determine which of the plurality of other failure mode logic modules are activated during the diagnosis of conditions related to a loss of lubrication within the sliding seal interface.

A predictive diagnostics system for monitoring mechanical seals. The system autonomously detects a loss of lubrication within a sliding seal interface of a mechanical seal, the system including a loss of lubrication failure mode logic module configured to monitor data sensed by one or more sensors and diagnose conditions relating to a loss of lubrication within the sliding seal interface, and a plurality of other failure mode logic modules configured to monitor data sensed by the one or more sensors and diagnose conditions relating to specific types of mechanical failures known to occur in mechanical seal systems, the loss of lubrication failure mode logic module configured to determine which of the plurality of other failure mode logic modules are activated during the diagnosis of conditions related to a loss of lubrication within the sliding seal interface.

A system and method for monitoring a dry gas seal positionable between a stationary housing and a rotatable shaft. A plurality of sense elements may rotate in response to the rotation of the rotatable shaft and a speed sensor may sense the speed of the rotatable shaft at speeds below one thousand rotations per minute based on sensing the plurality of sense elements. A processor may receive output signals from the speed sensor and may establish a position of the dry gas seal or an operating condition of the dry gas seal based on the signal from the speed sensor.

Methods for performing seal validation with a chemical pre-treatment are provided. One such method includes establishing an Arrhenius relationship between a material property response of a material exposed to a test fluid based on experimental results of testing a plurality of material samples made of the material across multiple temperatures. The method also includes determining, based on the Arrhenius relationship, a pre-treatment time and a pre-treatment temperature that approximates a seal end-of-life condition. The method further includes pre-treating a seal by exposing the seal to the test fluid at the determined pre-treatment temperature for the determined pre-treatment time, the seal having at least in part a same material composition as the plurality of material samples, and after pre-treating the seal, performing one or more validation tests on the pre-treated seal.