Elspec G4420 Blackbox Fixed Power Quality Analyzer

ELSPEC G4420 BLACKBOX Fixed Power Quality Analyzer

The revolutionary ELSPEC G4000 BLACKBOX is the next generation in power quality analyzers. The G4K provides accurate detection and isolation of power quality monitoring for effective preventive maintenance.No Triggers/No Thresholds meaning no missed events. The G4k records all network parameters for up to a year.

In addtion to real-time monitoring with PQZIP, a patented data compression algorithm, the G4000 Power Quality Analyzer BLACKBOX stores onboard all the waveforms of every network cycle for up to a year at up to 1,024 samples per cycle resolution, eliminating the need for thresholds, triggers, or parameter setting for logging. The G4000 BLACKBOX Power Quality Analyzer calculates RMS, harmonics, and all desired values from waveforms in post-processing. The total number of parameters is practically unlimited.

A unique time synchronization algorithm assures that logged data from multiple units is synchronized and displayed on the same time scale with typical 0.1 ms resolution. The results? Every event on a grid is accurately analyzed for precise root cause analysis and traced to its source.

PQA Technology

No Triggers/No Thresholds means no missed events. Optimizing Power Quality Data Analysis Using Patented Data Compression Technology. The main objective of an engineer troubleshooting a power quality event is to identify the source of the disturbance in order to determine the required corrective action. To identify the source, the engineer depends on recorded data captured by monitoring equipment.

The management demands a cost effective method to solve the problem as quick as possible. The electrical engineer speaks of installing instrumentation, collecting data, analyzing data, re-installing and re-analyzing. It is not uncommon for months to pass until the problem is isolated and a solution is implemented.

Power quality analysis has traditionally posed a unique challenge to the engineer, demanding an accurate assumption as to the dimensions of the disturbance in order to capture the event to memory for examination. The correct balance between memory size and the deviation of the disturbance from the norm is often elusive. Thresholds set too low capture too many events of little or no consequence, filling the memory before the sought after damaging event occurs. Setting the threshold too high can overshoot the event.

What is Data Compression Technology?

Revolutionary data compression technology takes the guess-work out of isolating the source of power quality problems by eliminating the need for devising set points and calculating threshold values.

The ability to capture all the wave form data in high resolution in it's entirety over an extended period of time is the only way to ensure that the event will be recorded, allowing the engineer to analyze the data and define a solution.

Until now, monitoring and analyzing system electrical trends have presented a true challenge because certain data compromises were required to counteract capacity, processing and physical limitations. Data compression technology provides unlimited capacity for power quality data storage. This means that you are no longer required to set constraints on system data, rendering the risk in data selection based on set thresholds and triggers obsolete.

Operators of electrical networks are constantly faced with power events and transient occurrences that affect power quality and heighten energy costs.

In the past, to determine whether such events reflect system trends or isolated incidents, electrical engineers relied on partial information indicating what events occurred and when; not all events were recorded due to data capacity limitations and missed thresholds. Now, by analyzing multi-point, time-synchronized real-time power quality data, you can actually reveal why all power events occur and what causes them.

In short, data compression technology pushes power quality analysis capabilities into the next generation.on of several months or even a year depending on the network pollution level.