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New records structure Boosts examine Analytics | 156-410-12 Dumps and exam Questions

Demand for more and enhanced data for examine is riding a massive requirements effort, paving the manner for one among most big changes in data codecs in years.

there's first rate reason for this shift. records from device trying out is fitting a vital element in examine software choices related to limits and flows. here's proper for everything from automotive and scientific components to complicated, heterogeneous contraptions reminiscent of processors used in servers or wise phones. And increasingly, all of those gadgets are anticipated to feature flawlessly for longer intervals of time, which can be greater than a decade for automobile, industrial, and medical functions.

look at various and facts analytics carriers have developed plenty of distinct approaches to ensuring nice, ranging from outlier detection techniques involving dynamic part standard trying out (DPAT) to on-chip monitoring right through a chip’s lifetime. The big problem nowadays is in the facts itself. implementing complicated examine techniques with the general check facts layout (STDF) is fitting unwieldy. there's with ease too tons statistics from too many sources.

this is why SEMI and its member organizations are constructing the rich Interactive check database (RITdb), a proposed verify statistics average geared toward cutting back the burden for look at various engineers and look at various operations. RITdb, which is the work of SEMI’s Collaborative Alliance for Semiconductor look at various (cast) RITdb working community, focused on the scope of look at various information and check processes required for modern instruments and modern check method. Their efforts should be voted on later this yr.

“There’s a lot of flexibility in RITdb to tackle multiple records sources,” spoke of Mark Roos, CEO of Roos contraptions and co-chair of RITdb Taskforce. “This offers the flexibleness to deal with the complexity of items that they now have today.”

It additionally offers a different examine factor for devices. “The STDF represents a static view of the facts and is positive for analysis after the tests are accomplished” referred to Deepak Sood, strategic marketer at Teradyne. “As industry 4.0 drives extra automation, the need for true-time comments and analysis will drive different ways to access the test data being generated.”

To assist look at various operations, the working community defined a streaming protocol for any records produced with the aid of a examine cellphone element. This provides the meta-records in regards to the verify technique that verify factories can use to put into effect smart manufacturing.

“RITdb establishes a standardized method for facts sharing and consumption of facts during the IC manufacturing approaches from fab to ultimate consumer and again across the total ecosystem,” stated Paul Trio, senior manager of strategic initiatives at SEMI. “RITdb supports adaptive verify and addresses the challenges of records sharing between inner and external facilities and stakeholders.”

RITdb enables records analytics for the look at various ground by means of including look at various meta-statistics for example test cellphone add-ons’ records, which at a minimum comprises the tester, handler, software apps and board.

Fig. 1: test phone add-ons. source: RITdb task force

For the verify flooring, integrating all look at various mobilephone statistics into manufacturing facility operations is in fact the equal of remaining mile connections.

“The verify flooring is comparatively heterogeneous in terms of techniques,” spoke of Dirk de Vries, R&D director at Synopsys. “It’s distinctive vendors using diverse protocols and codecs. RITdb can in reality deliver a primary bounce during this appreciate, instead of being an evolution of present methods.”

sensible manufacturing guarantees to with ease control a diverse factory area by means of sharing the data within an IoT framework. Proponents say RITdb can convey what STDF can't, enabling smarter check techniques.

STDF operating out of gasComplaints about STDF fall into three typical areas — constrained usual statistics, lack of ability to act on the verify facts until the file is written, and a lack of counsel about the examine procedure. Engineers have developed workarounds for these barriers, but they are cumbersome and customised. That, in turn, creates issues in maintainability, readability, and traceability.

“As a container, the STDF is insufficient. It doesn’t grasp sufficient information anymore. It doesn’t have the buildings vital to catch what's occurring in the software,” noted Stacy Ajouri, senior member of the technical staff at Texas gadgets and co-chair of the RITdb Taskforce.

agree with a 5G RF device, as an example. “We do excessive-efficiency RF measurements, which come as complex numbers, real and imaginary,” stated Roos. “STDF doesn’t support any of that. It’s very standard in RF to do a sweep of frequencies. STDF doesn’t actually assist the idea of a sweep. when they put stuff into STDF, they lose lots of the richness of the data.”

This turns into obvious even with anything so simple as a chip identification. “There isn’t basically a spot in STDF natively to place a 24 alphanumeric character die identification per equipment conveniently without inventing whatever in common statistics information that received’t be appropriate with diverse individuals’s data analysis tool,” said Ian Harrison, product expert in Cohu’s Semiconductor examine neighborhood.

To deal with facts types now not considered in the STDF, engineers make use of the widespread facts list (GDR). They also dump look at various situations in the GDR. while engineers can shop any records they need, it’s distinctive from engineer to engineer and product to product as to how the identical statistics could be stored.

“You would really like a container that doesn’t care what you’re testing and simplest cares for you to deliver the constitution and can convey it sooner or later,” noted Roos. “And so that’s why RITdb is based on a database technology, SQLite.”

the key potential is accessibility. “With SQLite, anyone can entry the information with open source equipment like a SQLite browser,” Ajouri explained. “With a bit know how on queries you'll be able to examine the file and look inner of it. you can’t effortlessly try this with STDF because it’s a customized binary layout with proprietary equipment.”

Technically, an engineer can not entry an STDF file except the ATE has accomplished checking out the wafer or lot of devices. Yet there are a mess of causes you can want to understand the verify consequences per die/unit right through check. Engineers were creative in gaining access.

“STDF, as designed, customarily gets pushed after the file is closed,” pointed out Ric Dokken, an unbiased ATE utility enterprise. “whereas the tester is writing the STDF file, it's possible to have a local daemon it truly is studying the file on the identical time it’s being written.”

Adaptive testYet this only looks on the facts generated. To allow some adaptive look at various strategies, engineers deserve to import statistics from previous examine steps, or from the historical list.

“Adaptive test for us is extra on how you have interaction with the look at various software, and what statistics is available on the tester for doing this, and the way can or not it's accessed,” Andre van de Geijn, company construction supervisor at YieldHub. “RITdb may come with a framework to make this take place. Adaptive check might be more straightforward with an easy approach to access the information.”

nowadays, every records analytic company has a daemon within the verify cell. “The biggest issue is that for each tester, each OS version on the tester (with the greater updates), you’ve acquired new methods for which you deserve to write an agent to do those variety of things,” observed van de Geijn. by means of streaming the data, RITdb obviates the want for custom options.

not everyone has the daemons extracting information. “a few of their shoppers have closed the STDF file every few instruments and send a bit of the facts within the STDF. however then you ruin all of the traceability,” stated Cohu’s Harrison. “in case you’ve broken that into a lot of little pieces, then getting it all returned together and not dropping just a little affects information integrity of a whole lot’s price of statistics.”

today uniting that meta-data with the verify outcomes records from an STDF file is viable, however it’s also cumbersome and error-prone.

“in case your legacy equipment produces simplest STDF files and additionally sends information through SECS/GEM to the MES (Manufacturing Execution equipment), at some point both records sources need to merge,” mentioned Albert Fuchigami, senior utility developer at PEER community. “RITdb will will let you take all that information and get it from your look at various phone, so I don’t need to merge records or be concerned about dropping information if the connection to the MES goes down. It’s a lot less difficult to manage and to extract.”

Enabling consistency and flexibilityCreated by way of every look at various engineer for his or her product, custom STDF GDRs add loads of work for every verify software. RITdb will eliminate most of this work with the aid of permitting ATE vendors to assist an information logging layout during which purchasers can define the entire details. information analytic buyers can port to their information structure of alternative.

The RITdb standard defines how engineers can store as a database entry with 6 columns that include sequence (time), entityID, indexID, identify, value and value2. This provides a flexible and standardized format.

Fig. 2: RITdb information layout. supply: RITdb task force

“With all this adaptive check and tuning, and so on. they now have a two-dimensional floor. it is truly describing the verify and it’s per half. Now every part is a bit of diverse,” talked about Roos. “With RITdb, they can put the adaptive information within the information log with every little thing else. So it’s one consistent container. they will have the circumstances. they are able to have the adaptive suggestions. those are issues STDF simply can’t help.”

With the want for bi-directional true time entry, RITdb files a streaming data protocol primarily based upon the MQTT, an open-supply, message-based mostly communique protocol. The inclusion of true-time records, corresponding to streaming information, offers opportunities for factory management. definitely, there is an additional SEMI ordinary, examine event Messaging for Semiconductors, which additionally streams facts and which currently going in the course of the pollprocess.

“Teradyne is working with several statistics switch technology alternatives like RITdb and TEMS. all of the transfer alternatives build on a group of communication standards traditionally attainable for tester and examine flooring administration methods,” mentioned Sood. “as an example, they now have worked with consumers to deliver actual-time examine facts the use of TEMS. TEMS has been deployed at a few of their consumers which have started on the path of industry four.0.”

Streaming statistics eases facts-entry mechanisms. “One respectable thing is to steer clear of having dissimilar daemons working on an ATE,” stated de Vries. “The concept of publishing the facts in a move this is in reality enabling dissimilar distinctive statistics patrons convinced devoid of burdening the ATE vendor with a number of proprietary protocols.”

That statistics streaming is 2 ways, that means which you could inject records into the check method. “RITdb is first rate no longer only as an output, however additionally as an enter to a look at various application for a few of this adaptive handle. as a result of there in fact is no normal structure for feeding external information into a check application,” said Keith Arnold, senior director of solutions at PDF options. “That’s a neighborhood the place RITdb may definitely aid because it’s flexible in constitution.”

With injecting information right into a check mobilephone, the ordinary addresses data integrity and security. “The integrity problem is you should be sure you’re getting the right information to the desired test mobile. They address this through ensuring accurate and relied on facts provenance in RITdb,” Ajouri talked about. “We wish to believe within the facts supply, i.e. where it came from and who it got here from.”

It is not just a count of amassing the information from distinct sources. With current programs, merging test mobile records from a few sources for evaluation applications is still tricky. To without problems leverage varied records sources requires alignment. the usage of the legacy methods each examine mobilephone part could file as much as the MES. With an IoT architecture, a broking service locally manages data streams, she observed.

Fig. 3: records streaming with RITdb. source: RITdb task drive

“in the end it's a count of receiving the data, processing the statistics, and acting upon the records. When data must be loaded this is coming from IoT, it needs to be delivered,” referred to van de Geijn. “Getting information in a consolidated method using RITdb that contains both look at various outcomes and statistics from IoT, here's extra of an evolution, now not revolution.”

evaluation probabilities and effectivity improvementsIn combining look at various technique data and verify effects facts, RITdb opens up new evaluation percentages, as well as making latest methods extra productive.

“clients will invent new and artistic things to do with this streaming information,” observed Harrison, noting this can go beyond the glaring adaptive look at various. “americans need yield alarms, they want calibration reputation, they desire configuration monitoring. They are looking to understand if a board comes out of a tester, and a distinct board goes in. All of these issues are enabled by this statistics in regards to the examine procedure.”

Ajouri is of the same opinion. “wise manufacturing skill I’m taking that information along with different information within the manufacturing facility and making self sustaining decisions that either go lower back or forward into the method,” she spoke of. “i will increase my planning and yield. i will be able to use it to do prescriptive maintenance, meaning i will be able to establish when some thing should still be maintained before it fails and results in a yield loss.”

test meta-statistics has many sources. here is evident with probe cards and cargo boards for the hardware interface between the tester and the equipment below look at various. The contactor degrades over time and desires renovation. The quantity of information in this case is turning out to be drastically, however these days that records is not related to the verify process.

“The number of interconnects that should be tested is getting a lot larger,” said Alan Liao, director of product marketing at FormFactor. “With an SoC, they used to have around 10K pin count number every. Now they’re coming in at 30K pin count. And we’ve been testing some chips which have assorted ICs integrated together which have reached 60K pin count number for only one die. So the probe force required, versus what that you would be able to assist on the prober, is getting very challenging.”

The difficulty is that the probe requires ample drive to make contact, however given the fragility of all of those facets developed at advanced nodes, a slight error will cause common hurt.

“If the drive isn't enough, you may additionally no longer get a stable contact,” Liao defined. “If it’s too excessive, then the entire bumps are going to cave in. We’re taking a look at superior MEMS processing in their fab to product probes for these points. It’s difficult, but from a probe card perspective we’re k for now. despite the fact, if they keep getting into this route, then probably new materials and new approaches may be mandatory.”

These forms of issues are cropping up throughout the look at various business, and all of it produces greater information. “looking on the interface between us and the vendor to get board return statistics that they will correlate with what’s occurring their floor,” pointed out Ajouri. “To birth this process we’re integrating RITdb into their board store activities. ultimately, they are able to integrate the board shop pastime with data we’re amassing on the floor. Then they can establish bad boards before they have an effect on yield or establish an issue board that maintains going in and out of the shop.”

Streaming examine consequences allows for detecting issues or facts trends and acting upon them. “a typical check run for us is 5 or 6 hours. all through that time stuff happens like the socket fails or the yield has develop into sporadic. these days they don’t have any approach of figuring out until the check run is carried out,” observed Roos. “With RITdb streaming records, their customers can watch the data and have a rule to notice these adversarial pursuits and forestall the look at various run to allow corrective actions.”

Time is of the essence right here. “precise-time facts may also be used to perform evaluation precise-time on the tester. believe about running methods like DPAT for last check on the tester. RITdb has a constitution that can without delay be accessed and makes it easy to right away discover records,” said van de Geijn.

Synopsys’ de Vries mentioned that meta-statistics regarding look at various time is very a whole lot vital for bettering standard equipment effectivity (OEE). Engineers interact in verify time reduction to Strengthen OEE devoid of decreasing excellent. RITdb provides more desirable insight into look at various time than STDF.

Making the transition to RITdbMost ATE vendors were actively participating all through the RITdb’s development, and some have already got in-built RITdb support. For information analytic systems there exists no big impediment for them to contain it.

however relocating from STDF to RITdb will not occur immediately. So what is going to drive this flow?

“You’re going to peer that the adoption for RITdb goes to be plenty bigger with people which are constructing complex gadgets that require advanced classes and complicated information assortment,” said Arnold.

here is notably crucial in areas comparable to communications chips. “5G products will pressure early adoption of this standard since the parts are enormously greater complicated,” pointed out Roos. “to fulfill high-quality/reliability goals, there’s lot more statistics. So the query for check engineers is, ‘Do I do whatever myself or do I follow this common?’ We’re at an outstanding time with wrapping up the usual for americans that make that choice.”

Complexity of the gadget isn't the most effective driver for migrating from STDF and SECS/GEM to RITdb. The lack of ability to take talents of new capabilities on the test flooring will encourage factory managers.

“standards deliver new technologies and new benefits. Factories will see value of getting all that records in the identical containers so nobody needs to agonize about merging in information from distinct sources and it is always obtainable,” referred to PEER group’s Fuchigami.

“It’s simply the nature of the check cells these days,” said Ajouri. “Some are legacy. but the complexity of more accurate verify cells is not the identical model because it was 10 years. I’m seeing it now as we’re taking a look at enforcing a new look at various cellphone that they’re trying to put into effect into an existing infrastructure. I see this should be in fact sub-most excellent, because you’re desperate to fit into what you have already got and it’s now not going to be the benefit you feel it’s going to be. in case you wish to get down to the nitty gritty, you should have a distinct system.”

“The need for buying and appearing on actual-time test records will power the shift to RITdb. this will turn up in two levels. the primary stage should be similar to nowadays with STDF, shoppers will advance RITdb statistics importers,” spoke of Sood. “The second stage, in order to take longer, is the place the MES infrastructure is developed for native RITdb. The need for consumers to more desirable control the utilization of their fleet will speed up the transition from stage one stage two.”

ConclusionRITdb can be going throughout the SEMI pollprocess on the end of this 12 months. energetic ballots are publicly obtainable on the SEMI site. most effective SEMI specifications individuals may also vote, but membership is free. For probably the most current information examine the LinkedIn neighborhood.

RITdb possesses the hallmarks of a great general. All stakeholders within the look at various technique can improvement. it might probably support existing methods, instantly permit improvements, and enable new methods. ultimately, it has an open framework that enables constant gadget and meta look at various data shared in a at ease manner.

“The important a part of working through a standard is that it features from the participation. over the years, there were inputs from the participants that brought about predominant alterations in course,” referred to Roos. “To address cases where there’s very advanced testing being carried out, they needed to be certain that they could address the complexity of what they did.”

RITdb’s data container in SQlite will facilitate test engineering to support subtle check records analysis and associated movements. RITdb’s streaming spec enables verify factories to stream to wise manufacturing solutions.

“RITdB is artful and stylish,” pointed out ATE organization Dokken. “statistics patrons don’t care the place it got here from however can be aware how to address the entire records. it will possibly come from the same supply or from distinctive sources. statistics can be kept into buildings that which are better described and in a database table which is indexable. You know that somebody can examine it five years now, these are completely advancements.”

Others agree. “We’ve been concentrated for so a long time on, let’s get the facts concerning the device in STDF or every other layout. Now the data about the look at various manner is becoming as critical and they all deserve to find the correct factor to do with it,” talked about Cohu’s Harrison. “For industry 4.0 to come along, they need records in a greater well timed fashion and it must be a richer set. RITdb can do all that.”

within the conclusion, a typical represents a set of equipment for engineers to remedy problems with efficiency, economic system and efficacy. RITdb provides a brand new toolbox for test.

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