Abstract: A transformer (26) is monitored by a dissolved gas monitoring device (28). A method (36) in the form of executable code instructs a processor (34) to estimate a remaining life (124) of the transformer. The method includes receiving (126), from the monitoring device (28) data elements (60) representing a current value (134) of dissolved gases (72) in the transformer (26) that correlate with degradation of insulating material in the transformer. Adjustment values (142, 144) are determined for the gases (72) in response to isolated events (160, 162) occurring at the transformer. The current value (134) and the adjustment values (142, 144) are combined to obtain a total value (114), and a degree of polymerization value (116) is estimated using the total value (114). The value (116) is converted into a measure of remaining life (124) of the transformer, and the measure of remaining life (124) is presented to a user (58).

Abstract: A transformer (26) is monitored by a dissolved gas monitoring device (28). A method (36) in the form of executable code instructs a processor (34) to estimate a remaining life (124) of the transformer. The method includes receiving (126), from the monitoring device (28) data elements (60) representing a current value (134) of dissolved gases (72) in the transformer (26) that correlate with degradation of insulating material in the transformer. Adjustment values (142, 144) are determined for the gases (72) in response to isolated events (160, 162) occurring at the transformer. The current value (134) and the adjustment values (142, 144) are combined to obtain a total value (114), and a degree of polymerization value (116) is estimated using the total value (114). The value (116) is converted into a measure of remaining life (124) of the transformer, and the measure of remaining life (124) is presented to a user (58).

Abstract: A transformer (26) is monitored by a dissolved gas monitoring device (28). A method (36) in the form of executable code instructs a processor (34) to analyze a condition of the transformer (26). The method includes receiving (90), from the monitoring device (28), data elements (60) in the form of values (70) of dissolved gases (72) associated with operation of transformer (26) during a period of time. Periodic characteristics responsive to the operation of the transformer (26) are identified (92) from the data elements (60). The periodic characteristics may include a daily, semi-annual, and/or annual fluctuation of gas generation in response to transformer loading. A gas generation rate trend (112) is distinguished from the periodic characteristics, the condition of the transformer (26) is determined and its future condition may be predicted in response to the trend (112). The condition is presented to a user (58).

Abstract: A system (30) includes an analysis engine (34) and a notification engine (38) for selective notification of a condition (72) of an apparatus (26) monitored by a monitoring device (28). A method executed by the system (30) receives (116) data elements (58) from the monitoring device (28), processes (118) the data elements (58) to detect the condition (72) of the apparatus (26), and determines that the condition (72) defines an exception (74) to a normal condition (70) of the apparatus (26). A first notice (60) of the condition (72) is conveyed (146) to a responsible party (59) at a first instance of determination of the exception (74), and conveyance of a second notice (60) is prevented (140) at a second, subsequent, instance of determination of the exception (74). In addition, communication of the normal condition (70) of the apparatus (26) is prevented.

Abstract: A transformer (26) is monitored by a dissolved gas monitoring device (28). A method (36) in the form of executable code instructs a processor (34) to analyze a condition of the transformer (26). The method includes receiving (90), from the monitoring device (28), data elements (60) in the form of values (70) of dissolved gases (72) associated with operation of transformer (26) during a period of time. Periodic characteristics responsive to the operation of the transformer (26) are identified (92) from the data elements (60). The periodic characteristics may include a daily, semi-annual, and/or annual fluctuation of gas generation in response to transformer loading. A gas generation rate trend (112) is distinguished from the periodic characteristics, the condition of the transformer (26) is determined and its future condition may be predicted in response to the trend (112). The condition is presented to a user (58).

Abstract: A system (30) includes an analysis engine (34) and a notification engine (38) for selective notification of a condition (72) of an apparatus (26) monitored by a monitoring device (28). A method executed by the system (30) receives (116) data elements (58) from the monitoring device (28), processes (118) the data elements (58) to detect the condition (72) of the apparatus (26), and determines that the condition (72) defines an exception (74) to a normal condition (70) of the apparatus (26). A first notice (60) of the condition (72) is conveyed (146) to a responsible party (59) at a first instance of determination of the exception (74), and conveyance of a second notice (60) is prevented (140) at a second, subsequent, instance of determination of the exception (74). In addition, communication of the normal condition (70) of the apparatus (26) is prevented.