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TZinc is Artesis appointed distributor for Taiwan
Artesis combined NASA technology, US Government & military funding, more than half century of Baker Hugh condition monitoring experience and exceeding 10 million failure OQC data.
Artesis combined NASA technology, US Government & military funding, more than half century of Baker Hugh condition monitoring experience and exceeding 10 million failure OQC data.
Artesis monitoring scope
Artesis monitoring scope
Artesis provides one stop shopping for a comprehensive integrated predictive maintenance solution, except for thermal imaging integration. exceeding 95% of induction motor driven equipment rotational incipient fault detection.
Limits to 3 phase induction motor drivent equipment, with limited load variation, or 45% electric current variation.
Artesis Digital twin technology(ESA 2.0)
Artesis Digital twin technology(ESA 2.0)
Pioneer in Model Based Fault Detection (MBFD) system as described in ISO20958. On the left image, rendering RSD, or model Residue Power Spectral density chart from discrete linear system identification model to an ideal model. Estimated RSD represents system in faultless condition, the ideal model derived from motor design data.
Artesis Utilized incipient fault characteristic as nonlinear to the system, the fault severity directly proportional to deviation from linearity, hence could be quantified by deviation from the linear model or the estimated good condition model. On the left image, deviation envelope shown in green (3 standard deviation), and in red (8 standard deviation), provided a visual aid to estimate fault severity. By overlay the RSD of actual measurement from ideal model, not only normalized deviation from each frequency band and eliminates noise from power source (Voltage noise), but deviation could be quantified by deviation from the linear model or good condition model.
MCSA has a disadvantage of unable to measure ambient vibration, hence only measure vibration pertaining to the system rotation, with MBFD, almost all noises (Vibration and power source) are eliminated. If used as a protection system, a cheap vibration system should be installed. MBFD alone could deliver an unmatched clear fault signal, and sensitivity to incipient fault. Artesis technology was used primarily for equipment Outbound Quality Control, meaning infinite prognostic horizon. Unique one stop shopping solution for new equipment, installation and overhaul or repair services quality check.
Artesis AI (ESA 3.0)
Artesis AI (ESA 3.0)
Unlike FFT, which is not suitable for quantitative analysis, for the wave phase is unresolved and unintended destructive interference is inevitable. PSD on the other hand resolved phase issues by measuring signal power, and power could be further calculated, hence AI could be easily applied.
Artesis uses AI to catagorize fault, and renders individual fault catagory trend chart. The catagory follows IEEE and EPRI motor failure literatures:
Mechanical fault catagory: Loose foundation/component, unbalance/misalignment, bearing fault, transmission fault(belts, gears and couplings), stator fault, rotor fault.
Electrical fault: Stator, Rotor, internal electrical (Motor), external electrical (None motor), including contactor, insulation capacitor etc.
Other fault: Mostly Flow Turbulence fault, foul filter and foul pipeline for heat exchangers etc
Trend chart for every indivicual fault catagory is a very useful analytical tool, especially for incipient fault. Rotational Incipient fault has 3 characteristics: It usually generates a signal, the signal is nonlinear to the system, the signal increases in an exponential model, represented in a log trend chart, it is a straight line going up. Most equipment emits some nonlinear signal which is controlled, in many cases it could lead to fault detection false alarm, with individual fault catagory trend chart, incipient fault could be easily identified, eliminating possible false alarm. Further more, each trend chart could be used to estimate failure accurately. AMTPRO usually has insufficient trend chart resolution, hence it is best applied for non-critical equipments or batch production equipments.
Electrical monitoring
Electrical monitoring
The Garbage rule: Garbage in Garbage out does not only apply to signal processing, bad power gives bad performance for motors too. Artesis system provides the suggested threshold too, based on prevailing standards.
Generative AI(ESA 5.0)
Generative AI(ESA 5.0)
In Taiwan, as a region with highest risk for war, we are constantly under malevolent hacking attacks, hence on site solution are preferred for both state owned and private companies.
The main function of Generative AI provides customized analysis assist functions for every individual equipment, identifying root cause, increase efficiency and reserve power. AI replaces learning to use Artesis and the existence of incipient fault. In Taiwan, Artesis provides a globally most senior distributor, trained personally by Professor Ahmet Duyar, the technology inventor himself.
one on many, suitable for non critial equipment and batch process equipment, due to trend chart resolution is low,and work best with cloud solution.
TZ provide free 12 months unlimited remote services for customers made purchase, pertaining not only to the purchased goods, but also to the exising systems. Software is not licensed, but free to use for purchased customers, currently any update is free of charge.
Attention! Every mention of fault and prognostic horizon in TZinc websites referring and pertaining to rotational incipient fault only! does not includ Abrupt fault, nor intermitten fault, nor design error, nor operation error, nor overload induced fault, and prognostic horizon assumes equipment is operating under stable and steady state only.
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