
History of EMI/EMSA Technology

EMI is an acronym for Electromagnetic Interference. EMI (also called Radio Frequency Interference or RFI) can be somewhat loosely defined as an unwanted disturbance that affects an electrical circuit due to either electromagnetic conduction or electromagnetic radiation emitted from a defect within the electrical circuit or from an external source.
EMI started to become problematic in the 1920’s when it was first realized that corona discharges from overhead transmission lines created interference with Amplitude Modulation (AM) radio reception. Governments developed regulations about the permissible amounts of interference from utility transmission lines in response to complaints from radio listeners and broadcasters. By the 1950’s television started gaining widespread acceptance throughout modern society, but this technology also encountered signal distortion problems attributed directly to EMI. This problem continued to be an expanding issue as the popularity of radios and TVs grew. Transmission and Distribution engineers were tasked to resolve this issue which required reducing the electric field at the conductors which would then reduce the corona which caused the radio and TV interference. The solution(s) included increasing the diameter of the transmission lines or using bundled conductors.
While engineering was working on the resolutions for this issue, both intentional and unintentional Radio Frequency transmissions began affecting other electrical systems and EMI started becoming more problematic. Fortunately, EMI field quietly gained formal recognition in 1933 under a sub-committee of the International Electrotechnical Commission in Paris France under the name of International Special Committee on Radio Interference (CISPR).
In 1934 CISPR started subsequently producing technical publications covering measurement and test techniques and recommended emission and immunity limits. Although corona was and continues to be an issue, it is not the primary source of interference for radio and TV receivers. The RFI from microsparking hardware on distribution lines operating below 150 kV is the major source of EMI for radio and TV. Transmission lines operating above approximately 150 kV generate very little microsparking and RFI. Microsparking and loose hardware connections on distribution a nd sub transmission lines are the source of the majority of consumer complaints of electrical interference to radios and television receivers. Modern digital s systems are less prone to RFI problems. Galvanized metal surfaces on line hardware corrode when exposed to the weather, and this corrosion, being an electrical insulator when dry, effectively insulates energized metal-to-metal hardware and line components from each other with microgaps.
Galvanic corrosion commonly forms gaps of approximately 0.00015” which allow the ever-present electric field to spark/arc over and generate RFI that is then propagated longitudinally and laterally along the line as a function of the RF impedance, length of the line, hardware and ground paths. The second most common cause of microsparking RFI is from loose hardware. Loose hardware usually results from expansion and contraction of wood poles. This action loosens cross arm braces and through bolts, for example, resulting in floating washers and lock nuts which generate microsparking. Also, pole grounds are frequent s sources of Microsparking where expansion and contraction of the wood pole loosens staples holding the ground wire. I have seen staples nearly “eaten” into by long-term microsparking between the ground conductor.
Sub transmission lines, especially those operating at 34.5 kV are notorious generators of microsparking between the conductors, tie wires and necks of the insulators. In most cases the physical motion of the conductors due to wind, vibration, ice loading, etc. breaks down the conservatively designed electric field shielding on the necks of the insulators allowing microsparking activity to commence. Transmission lines operating above 150 kV rarely generate microsparking RFI because the sheer weight of the conductors and hardware are sufficient to maintain good metal-to-metal conducting surfaces between hardware components. Thus, microgaps rarely appear under these conditions and this source of RFI is effectively eliminated.
Corona and microsparking are opposite functions of the weather; Microgaps are effectively shorted during wet, humid weather and the sparking/arcing process ceases. Corona, on the other hand, is quite active in wet weather on transmission lines operating approximately 150 kV and above depending on the precipitation rate, temperature, wind speed and direction.
There are many more miles of lines operating below 150 kV and adjacent residences are usually closer: especially in the distribution and sub transmission voltage range, all susceptible to RFI from a multitude of microsparking sources. The ratio of wet weather to dry weather acts to favor microsparking in the majority of cases. Therefore, it is microsparking and not corona that is the major source of interference along power company rights-of-way.
Johnny Johnson of Westinghouse used commercially available RFI/EMI testing equipment in the late 1940’s for the first application of on-line partial discharge detection in g enerators. Note that corona is just a specialized form of partial discharge (PD), and thus it was natural to use such EMI or ‘RF Noise’ measurement apparatus.
In Johnson’s work, the signal for the EMI gear came from the first use of a high frequency current transformer installed on the ground connection to the generator’s neutral. In North America, this CT is often referred to as an RFCT, since it detects radio frequency currents. Johnson found that PD in generators tended to occur at specific frequencies (usually around 1 MHz, the heart of the am (AM) broadcast band), and with experience, he was able to identify a number of generators with loose coils in the slot with the new method.
James E. Timperley along with fellow engineers Dave Klinect and Keith Chambers at American Electric Power (AEP) started employing EMI testing around 1980 on generators and motors. His interest in EMSA technology began with the unexpected failure of a 100,000 hp pump-generator and the EPRI funded work by Johnny Johnson at Westinghouse.
As fate would have it, his office was located next to the communications group, so they were familiar with EMI problems resulting from defective hardware on the new 765 kV system. The EPRI project made sense and collecting data at the machine neutral an easy fit.
The first EMSA diagnostics were performed on four large hydro generators (circa 1980) at the Smith Mountain Dam in Virginia. Fellow engineer Keith Chambers and Jim collected the data and Keith performed the analysis. They utilized quasi peak, field intensity and peak readings from 10 kHz to 100 MHz that were collected by hand, no pen recorder was available at that time, data collection required an entire week. They knew high readings were bad and low reading good. But had no idea of any specific problems. The surprise was a sister generator to the one that failed had very little activity, however another machine had high readings. That machine was then scheduled for a rotor pull, slot deterioration was found and corrected. A follow up test verified maintenance was successful. The value of EMSA technology was truly a game changer from the beginning.
The machinery section manager then scheduled other generator tests to help with maintenance planning starting in 1981. First with generators rated 13 kV and then to 4 kV motors since this is where the real condition base maintenance need was in AEP.
Several thousand tests were performed after 1980, first on generators, then large motors, bus, cables and transformers. They found the technique worked down to 2300 volt equipment. Fellow engineer John Allen was the primary AEP tester for many years. His plant background helped develop a brief report focused on what maintenance was needed.
They soon were able to detect several basic patterns such as Partial Discharges, Corona, Arcing, and Random noise. Each describes a different condition or deterioration. Identifying arcing and random noise are unique to EMSA techniques. They continue to identify new conditions each year and are now around 70. Each is added to the list only after an inspection confirms the condition and maintenance repairs the damage, followed by a second EMSA test that verifies the pattern is gone.
At about the same time the EMSA technology field was growing, so to was Partial Discharge technology. This technology first focused on slot discharges in large hydro generators, since this was serious problem with the n ew “hard” coils installed In Canadian hydro generators. EPRI sponsored research by Ontario Hydro to detect this problem. The spin off was IRIS, headed by Dr. Greg Stone, to develop and market a high frequency PD measuring device. With continued help from EPRI and a built-in customer, IRIS dominated the PD arena quickly. PD measurement has been applied to cables, transformers and SF 6 bus by others. It is a major condition diagnostic in Europe and Asia.
The major difference between the EMSA and PD technologies is that EMSA is based on an international standard, CISPR 16, for measuring “noise” in the radio frequency spectrum. The EMSA frequency range now scanned is from 50 kHz to 100 MHz. This covers most of the EMI generated by equipment operated in air, hydrogen or oil below 30 kV. Conditions like arcing connections, bearing rub, winding contamination and broken rotor bars are identified with EMSA but not PD. Both the video patterns and the audio sound present at specific radio frequencies provides valuable information on the condition present. Long unique to the EMSA technology. The development of an “EMI Sniffer” with Radar Engineers is a unique EMSA device. Radiated EM energy is measured and will often provide a specific physical location for many defects. John Allen often performed motor diagnostics with the sniffer as a quick scan to save time and reduce the number of full EMSA scans needed for motors. Identifying a bearing or seal rub and broken rotor bars in induction motors with the s niffer was so reliable, a full EMSA scan was not always necessary to provide maintenance recommendations. The Sniffer could also locate system problems such as loose connections at generator or transformer bushings or an open fuse in a metering cabinet.
There are several types of high frequency and low frequency PD measuring systems. They do not follow a common detector or bandwidth standard. The PD guide documents available allow application of all the various devices available. In general, only machine stator problems are emphasized. A direct comparison between these systems is not advised.
There were several advances in PD data collection and analysis during the first few decades. Phase resolved comparison of PD spikes and the driving power frequency was a major improvement in defect location identification. Recently capture of the video of activity at specific frequencies is being applied. This is the same as EMSA has been doing for over 40 years. EMSA has continued to evolve. Not only the spectrum signature of a device is important but also the what the patterns look and sound like across the spectrum. In many cases the condition of equipment can now be determined from the first test, trending, as historically, required by PD analysis in not necessary for data analysis. EMSA measures and identifies external signals, PD does not. This results in identifying equipment with few or only minor problems where no maintenance is necessary. For 20 years the common feeling was since AEP is the only one doing it, EMSA must not be any good. Today several have developed internal EMSA based condition base maintenance. programs. The major advance has been application to identify mechanical rotating shaft related defects, even turbine rubs and internal turbine static discharges (from cold steam ) have been identified. The EPRI research focused on a specific large STG connection problem, this technique was then applied to hydro generators, nuclear plants, motors and bus systems. Application then progressed to heavy industry and petrochemical sites. Off-shore platform equipment evaluation followed. One very important advantage EMI/EMSA diagnostics is that this testing is performed on-line, at power, no hot connections are made, no signals introduced to the system, it is an inherently safe test. Jim retired in 2007 and then brought his technology to our core group of engineers that he started training in 2008 and is still very much involved in the analysis and review process today with AI Advanced Electrical Systems USA.
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Deep Blue RF monitoring system™
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EMSA Testing EMI testing later changed to the more common EPRI term, EMSA (ElectroMagnetic Signature Analysis).
Since 2008 the EMSA techniques have developed into a more comprehensive, non-intrusive method to evaluate the machines’ health. The technology has gotten more sophisticated with the size of test equipment shrinking down in size significantly and weight. EMI instrumentation in 1980 filled a full-size test van. Fast forward to today where artificial intelligence has advanced the techniques to allow for on-line 24/7 monitoring. AI Advanced Electrical Systems USA has developed the Deep Blue RF monitoring system™ which is a highly complex Artificial Intelligence based advanced E MSA diagnostic online monitoring system. The Deep Blue RF monitoring system™ monitors critical electrical assets (generators, bus, transformers, cables, motors), around the clock giving you online, real-time condition assessment of your asset’s health under actual operating conditions. Streaming data is captured by our own advanced high-speed hardware and is analyzed by our proprietary software and is sent to the cloud. The data is parsed and processed using an artificial intelligence engine created specifically for the Deep Blue RF monitoring system™ monitoring system. Only the future will show us what the next evolution in EMSA technology will be…stay tuned!
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Contributors
James E. Timperley,
Keith Chambers,
Peter O. Longo,
Wikipedia