Abstract: A monitoring process for a grease lubricated rotating system having a processing unit linked to a measurement system for measuring the water content within lubrication grease. A learning period is performed that establishes upper and lower thresholds based on current measurements. If at least a first number of measurements out a second number of last measurements are above the upper threshold then if such is the case, emitting a first event. If at least the first number of measurements out the second number of last measurements are below the lower threshold, then if such is the case, emitting a second event, if at least a first event has been emitted, if such is the case emitting an alarm function of the at least first event.

Abstract: A method for setting alarm levels for a machine provides defining at least one condition indicator reflecting the condition of the machine with respect to a defect to be monitored of the machine, the at least one condition indicator defined from machine kinematic data, recording measurements of process related parameters during a predetermined period during which the machine is operating normally, calculating at least one condition indicator value for the at least one condition indicator) using machine condition data, determining a graph of the at least one condition indicator value as a function of a first process related parameter chosen from the measured process related parameters, dividing the graph into operating classes, each operating class being representative of different operating conditions of the machine, calculating an alarm level value for each operating class, setting the determined alarm level value at the midpoint of each operating class.

Abstract: A device for identifying a type of a bearing is provided. The device includes a detection unit for detecting a vibration frequency of the bearing, and an identification unit for identifying the type of the bearing based on the detected vibration frequency.

Abstract: A system with at least one control unit and a bearing arrangement that includes at least one sensor unit for measuring a quantity. The system is configured to find out with the help of the at least one sensor unit first values of the quantity in a first time span for a first set of instants of time. The system is further configured to infer second values of the quantity for a second set of instants of time from third values measured via the at least one sensor unit in a second time span. The first set of instants of time is different from the second set of instants of time.

Abstract: A device for detecting a defect of a rotating arrangement is disclosed. The rotating arrangement provides one or more rotating elements or groups of rotating elements. The device includes a definition unit for defining a dynamic threshold based on a static threshold of an actually monitored rotating element or group of rotating elements and based on a mean value of static thresholds of a plurality of similar functioning rotating elements or groups of rotating elements, and a detection unit for detecting a defect by comparing a current parameter value of the actually monitored rotating element or group of rotating elements with the dynamic threshold. Also, a method for detecting a defect of a rotating arrangement is disclosed.

Abstract: A device for detecting a defect of a rotating arrangement is provided. The rotating arrangement further provides one or more rotating elements. The device includes a measuring unit for measuring a parameter of the rotating arrangement for a predefined time period, a calculation unit for calculating a mean value and a standard deviation of the parameter of the predefined time period and for calculating a threshold based on a sum of the mean value and the standard deviation during the predefined time period, and a detection unit for detecting a defect by comparing a current value of the parameter with the calculated threshold. The calculation unit is configured to adjust the calculated threshold using a stability factor. The stability factor is a variable function of the standard deviation and the mean value. A method for detecting a defect of a rotating arrangement is also provided.

Abstract: A method for setting alarm levels for a machine provides defining at least one condition indicator reflecting the condition of the machine with respect to a defect to be monitored of the machine, the at least one condition indicator defined from machine kinematic data, recording measurements of process related parameters during a predetermined period during which the machine is operating normally, calculating at least one condition indicator value for the at least one condition indicator) using machine condition data, determining a graph of the at least one condition indicator value as a function of a first process related parameter chosen from the measured process related parameters, dividing the graph into operating classes, each operating class being representative of different operating conditions of the machine, calculating an alarm level value for each operating class, setting the determined alarm level value at the midpoint of each operating class.

Abstract: A monitoring process for a grease lubricated rotating system having a processing unit linked to a measurement system for measuring the water content within lubrication grease. A learning period is performed that establishes upper and lower thresholds based on current measurements. If at least a first number of measurements out a second number of last measurements are above the upper threshold then if such is the case, emitting a first event. If at least the first number of measurements out the second number of last measurements are below the lower threshold, then if such is the case, emitting a second event, if at least a first event has been emitted, if such is the case emitting an alarm function of the at least first event.

Abstract: A device for identifying a type of a bearing is provided. The device includes a detection unit for detecting a vibration frequency of the bearing, and an identification unit for identifying the type of the bearing based on the detected vibration frequency.

Abstract: An auto-diagnosis system is provided. The auto-diagnosis system executes a volume of machine health monitoring of machine parts by an analysis of measurements of the machine parts to detect defects as early as possible. The auto-diagnosis system includes a sensor in communication with the machine parts, a processor, and memory storing software for an auto-diagnosis alarm handling of the machine parts. The software is executable by the processor to cause the auto-diagnosis system to set alarm levels for each measurement point of the machine parts based on a mean of a group of condition indicator values and a predetermined number of standard deviations above the mean, detect an alarm with respect to the measurements of the machine parts and the alarms levels, automatically adjust an alarm level corresponding to the alarm, and automatically adjust the alarm level to a new state based on the measurements respective to the alarm.

Abstract: A device for detecting a defect of a rotating arrangement is disclosed. The rotating arrangement provides one or more rotating elements or groups of rotating elements. The device includes a definition unit for defining a dynamic threshold based on a static threshold of an actually monitored rotating element or group of rotating elements and based on a mean value of static thresholds of a plurality of similar functioning rotating elements or groups of rotating elements, and a detection unit for detecting a defect by comparing a current parameter value of the actually monitored rotating element or group of rotating elements with the dynamic threshold. Also, a method for detecting a defect of a rotating arrangement is disclosed.

Abstract: A device for detecting a defect of a rotating arrangement is provided. The rotating arrangement further provides one or more rotating elements. The device includes a measuring unit for measuring a parameter of the rotating arrangement for a predefined time period, a calculation unit for calculating a mean value and a standard deviation of the parameter of the predefined time period and for calculating a threshold based on a sum of the mean value and the standard deviation during the predefined time period, and a detection unit for detecting a defect by comparing a current value of the parameter with the calculated threshold. The calculation unit is configured to adjust the calculated threshold using a stability factor. The stability factor is a variable function of the standard deviation and the mean value. A method for detecting a defect of a rotating arrangement is also provided.

Abstract: The embodiments herein relate to a method performed by an analyzing device for handling dynamic characteristics of a vibrating machine component. The analyzing device monitors vibration of the machine component in real-time. When the vibration of the machine component is below and close to a threshold, the analyzing device provides a real-time indication of that the vibration of the machine component is below and close to the threshold. The analyzing device obtains the dynamic characteristics of the machine component when the vibration is below and close to the threshold. A change of the dynamic characteristics influences how close the vibration is to the threshold.

Abstract: A system with at least one control unit and a bearing arrangement that includes at least one sensor unit for measuring a quantity. The system is configured to find out with the help of the at least one sensor unit first values of the quantity in a first time span for a first set of instants of time. The system is further configured to infer second values of the quantity for a second set of instants of time from third values measured via the at least one sensor unit in a second time span. The first set of instants of time is different from the second set of instants of time.

Abstract: An auto-diagnosis system is provided. The auto-diagnosis system executes a volume of machine health monitoring of machine parts by an analysis of measurements of the machine parts to detect defects as early as possible. The auto-diagnosis system includes a sensor in communication with the machine parts, a processor, and memory storing software for an auto-diagnosis alarm handling of the machine parts. The software is executable by the processor to cause the auto-diagnosis system to set alarm levels for each measurement point of the machine parts based on a mean of a group of condition indicator values and a predetermined number of standard deviations above the mean, detect an alarm with respect to the measurements of the machine parts and the alarms levels, automatically adjust an alarm level corresponding to the alarm, and automatically adjust the alarm level to a new state based on the measurements respective to the alarm.

Abstract: A monitoring system for monitoring equipment has first data processing means for executing a primary, critical task and second data processing means for executing a secondary, non-critical task. The second data processing means receives its power supply from the first data processing means via protective circuitry so as to prevent electrical failures in the second data processing means from affecting operation of the first data processing means.

Abstract: A method of trend analysis and automatic tuning of alarm parameters for a machine is provided. The method includes obtaining condition related measurements of the machine, checking a Condition Indicator (CI) value with respect to a set threshold, calculating the number of times the value is above the threshold during the N last measurements, displaying the number of times the value is above the threshold during the N last measurements in a diagram, triggering the alarm if the value has been above the threshold more times than the alarm level during the N last measurements, comparing historical measurement data when each alarm triggered with defects recorded, correlating a relationship between the alarms triggered and the defects detected, counting the number of true positives, false negatives and false positives from the current measurement data, comparing the number of counted true positives, false negatives and false positives with the acceptable defined limits.

Abstract: A method of trend analysis and automatic tuning of alarm parameters for a machine is provided. The method includes obtaining condition related measurements of the machine, checking a Condition Indicator (CI) value with respect to a set threshold, calculating the number of times the value is above the threshold during the N last measurements, displaying the number of times the value is above the threshold during the N last measurements in a diagram, triggering the alarm if the value has been above the threshold more times than the alarm level during the N last measurements, comparing historical measurement data when each alarm triggered with defects recorded, correlating a relationship between the alarms triggered and the defects detected, counting the number of true positives, false negatives and false positives from the current measurement data, comparing the number of counted true positives, false negatives and false positives with the acceptable defined limits.

Abstract: The embodiments herein relate to a method performed by an analyzing device for handling dynamic characteristics of a vibrating machine component. The analyzing device monitors vibration of the machine component in real-time. When the vibration of the machine component is below and close to a threshold, the analyzing device provides a real-time indication of that the vibration of the machine component is below and close to the threshold. The analyzing device obtains the dynamic characteristics of the machine component when the vibration is below and close to the threshold. A change of the dynamic characteristics influences how close the vibration is to the threshold.

Abstract: An accumulator membrane unit (2) for inclusion into an accumulator chamber (6) in an accumulator (1) for storing hydraulic energy under pressure. The accumulator membrane unit includes membrane elements (3) that are sealingly joined at their peripheries and limit an inside membrane volume (V) which varies in dependence of a pressure at an outside of the accumulator membrane unit. The invention also concerns an accumulator, a method and a rock drilling machine.