Business DomainOverall diagnosis
The state of deterioration is grasped in order to estimate life expectancy.
Life expectancy diagnosis
Life expectancy diagnosis on an oil-filled transformer
The operational life of an oil-filled transformer is determined by the deterioration grade (mechanical strength) of insulation paper wound around the transformer coils. Progress of deterioration is greatly affected by the period of operation, machine type, and operating conditions, such as loading, oil temperature, etc. Along with progression of deterioration in the insulation paper, mechanical strength is lowered and various deterioration products (such as furfural, CO2, CO, etc.) are increased. By analyzing the amount of furfural and CO2 + CO, the grade of time-related deterioration of insulation paper can be diagnosed and the transformer life can be estimated.
Oil analyzing techniques
For oil-filled electrical equipment, various kinds of decomposed gases are generated if there is any abnormality inside. This results in changes in characteristics of the insulation oil.
When insulation oil is sampled from equipment, gases in oil are analyzed and characteristics of insulation oil are measured. Based on the analytical result, internal conditions of equipment are estimated. This approach is helpful for early discovery of internal abnormality. In this manner, the internal conditions of equipment at the time of failure can be diagnosed.
Life expectancy diagnosis on rotating machines (motors and generators)
- Advantages of rotating machine diagnosis
- Life expectancy prediction for insulation and bearings
- Necessity of overhaul and rewinding can be judged.
- The life can be extended economically.
1. Insulation diagnosis
Based on the diagnostic result, estimated breakdown voltage is calculated to predict the life expectancy of rotating machines.
Process of insulation deterioration
2. Life expectancy prediction
Example of an insulation diagnostic test result for a rotating machine
|6.6kV, 85kW, 3-phase IM
Years of operation: 33 years
Characteristic data measured
|R1C0||91 Ω F|
|Estimated dielectric strength(VBD/E)||4.1|
|Residual % breakdown voltage(VP)||20％|
|Estimated breakdown voltage||27kV|
|Estimated life||44 years|
|Life expectancy||10 years|
Deterioration diagnosis of circuit breakers and contactors
We propose parts replacement or a renovation plan based on the operating conditions (number of operation times:) and the results of diagnostic tests such as contact resistance measurement.
Cable deterioration diagnosis
Judging from our diagnostic technologies and accumulated experience in regard to insulation deterioration, we propose an adequate method of deterioration factor analysis and preservation, and also offer suggestions for improvement.
- 1.Evaluation of transition of current values from 1 minute to 7 minutes after a test voltage has been applied (NG in case of failure in convergence)
- 2.Evaluation of the absolute value of leakage current in 7 minutes (Caution level in this case)
- 3.Presence of “kick” waveform (Nil in this case)
A small amount of PCB analysis
Analysis are conducted to judge whether the equipment such as transformers and capacitors are classified as PCB waste*2. A small amount of insulation oil is sampled and a minute content of PCB is measured.
According to the Act on Special Measures Concerning PCB (Act on Special Measures Concerning Promotion of Adequate Treatment of Polychlorinated biphenyl refuses enforced in June 2001), PCBrelated waste must be disposed of or its disposal must be entrusted to a professional disposal service by March 31, 2027.
- *2When PCB concentration in insulation oil exceeds 0.5mg/kg, it is regarded as a PCB waste.
- Objective equipment requiring analysis:
Transformers, capacitors, reactors, switches, circuit breakers, etc.
- Purpose of analysis:
Certificate of no contents needed at the time of product delivery, inspection at the time of abolishment.
Overall facility diagnosis
Outline of overall facility diagnosis
From the stabilized operational phase to the aging phase, we support the optimization of LCC*1 through our overall diagnostic services of facilities.