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Demand for more and more advantageous data for verify is using an incredible requirements effort, paving the style for one in all most huge alterations in statistics formats in years.
there is good explanation for this shift. statistics from machine trying out is becoming a essential element in check program decisions concerning limits and flows. this is genuine for every little thing from automobile and scientific add-ons to complex, heterogeneous gadgets reminiscent of processors used in servers or wise telephones. And more and more, all of those instruments are expected to function flawlessly for longer periods of time, which can also be greater than a decade for car, industrial, and medical purposes.
examine and facts analytics vendors have developed a number of diverse techniques to guaranteeing high-quality, ranging from outlier detection thoughts involving dynamic half ordinary trying out (DPAT) to on-chip monitoring right through a chip’s lifetime. The large issue these days is in the records itself. enforcing complex check tactics with the average look at various facts structure (STDF) is becoming unwieldy. there is simply too tons statistics from too many sources.
here's why SEMI and its member businesses are constructing the wealthy Interactive test database (RITdb), a proposed verify statistics commonplace aimed at cutting back the burden for examine engineers and look at various operations. RITdb, which is the work of SEMI’s Collaborative Alliance for Semiconductor examine (forged) RITdb working community, concentrated on the scope of look at various records and test approaches required for modern instruments and contemporary verify system. Their efforts might be voted on later this 12 months.
“There’s a lot of flexibility in RITdb to address diverse records sources,” talked about Mark Roos, CEO of Roos contraptions and co-chair of RITdb Taskforce. “This gives the flexibleness to take care of the complexity of products that they now have nowadays.”
It additionally offers a further assess element for contraptions. “The STDF represents a static view of the records and is useful for analysis after the assessments are achieved” said Deepak Sood, strategic marketer at Teradyne. “As business four.0 drives more automation, the want for true-time feedback and analysis will power different ways to entry the test records being generated.”
To guide verify operations, the working community described a streaming protocol for any statistics produced via a verify mobile component. This provides the meta-records in regards to the check process that look at various factories can use to implement wise manufacturing.
“RITdb establishes a standardized approach for statistics sharing and consumption of facts throughout the IC manufacturing procedures from fab to closing consumer and returned across the entire ecosystem,” referred to Paul Trio, senior supervisor of strategic initiatives at SEMI. “RITdb supports adaptive examine and addresses the challenges of facts sharing between inner and external amenities and stakeholders.”
RITdb facilitates data analytics for the look at various floor by means of including test meta-facts for instance examine mobile components’ statistics, which at a minimal comprises the tester, handler, utility apps and board.
Fig. 1: test mobile add-ons. source: RITdb task drive
For the test ground, integrating all examine mobilephone information into factory operations is actually the equal of closing mile connections.
“The test flooring is relatively heterogeneous in terms of programs,” noted Dirk de Vries, R&D director at Synopsys. “It’s different providers using diverse protocols and codecs. RITdb can in reality provide a basic bounce in this appreciate, as opposed to being an evolution of latest systems.”
wise manufacturing guarantees to without difficulty manage a various manufacturing facility house with the aid of sharing the records within an IoT framework. Proponents say RITdb can deliver what STDF cannot, enabling smarter examine strategies.
STDF working out of gasComplaints about STDF fall into three ordinary areas — limited regular records, inability to act on the look at various facts until the file is written, and a lack of information about the check method. Engineers have developed workarounds for these boundaries, but they're cumbersome and customised. That, in flip, creates issues in maintainability, readability, and traceability.
“As a container, the STDF is insufficient. It doesn’t dangle ample counsel anymore. It doesn’t have the constructions essential to trap what's going on within the software,” pointed out Stacy Ajouri, senior member of the technical team of workers at Texas devices and co-chair of the RITdb Taskforce.
accept as true with a 5G RF equipment, for instance. “We do high-efficiency RF measurements, which come as complicated numbers, real and imaginary,” stated Roos. “STDF doesn’t help any of that. It’s very normal in RF to do a sweep of frequencies. STDF doesn’t in reality support the thought of a sweep. after they put stuff into STDF, they lose loads of the richness of the records.”
This turns into glaring even with whatever so simple as a chip id. “There isn’t in reality a place in STDF natively to put a 24 alphanumeric character die identity per gadget quite simply with out inventing something in well-known information records that gained’t be appropriate with distinctive individuals’s facts evaluation tool,” referred to Ian Harrison, product professional in Cohu’s Semiconductor look at various neighborhood.
To handle statistics forms no longer considered in the STDF, engineers make use of the commonplace facts checklist (GDR). They additionally dump test situations within the GDR. whereas engineers can shop any records they need, it’s diverse from engineer to engineer and product to product as to how the same records can be kept.
“You would love a container that doesn’t care what you’re trying out and handiest cares that you should deliver the constitution and might carry it sooner or later,” said Roos. “And in order that’s why RITdb is according to a database expertise, SQLite.”
the key knowledge is accessibility. “With SQLite, any one can entry the statistics with open source equipment like a SQLite browser,” Ajouri explained. “With a little know the way on queries one could study the file and look internal of it. you can’t conveniently do this with STDF because it’s a customized binary structure with proprietary equipment.”
Technically, an engineer can't entry an STDF file except the ATE has completed trying out the wafer or lot of gadgets. Yet there are a multitude of causes you would need to comprehend the examine results per die/unit throughout examine. Engineers had been artistic in gaining entry.
“STDF, as designed, usually receives pushed after the file is closed,” pointed out Ric Dokken, an independent ATE utility company. “while the tester is writing the STDF file, it is feasible to have a local daemon this is studying the file at the identical time it’s being written.”
Adaptive testYet this simplest looks on the information generated. To enable some adaptive examine methods, engineers deserve to import information from previous verify steps, or from the historic list.
“Adaptive look at various for us is extra on the way you interact with the check application, and what statistics is obtainable on the tester for doing this, and how can it's accessed,” Andre van de Geijn, business construction manager at YieldHub. “RITdb could include a framework to make this occur. Adaptive test might be simpler with an easy solution to entry the records.”
nowadays, each records analytic company has a daemon within the examine mobile. “The biggest difficulty is that for every tester, every OS edition on the tester (with the larger updates), you’ve obtained new methods for which you deserve to write an agent to do those form of issues,” said van de Geijn. via streaming the facts, RITdb obviates the need for custom options.
not each person has the daemons extracting information. “some of their shoppers have closed the STDF file each few gadgets and ship a piece of the information in the STDF. however then you destroy all of the traceability,” noted Cohu’s Harrison. “in case you’ve damaged that into lots of little items, then getting it all back collectively and not dropping slightly influences data integrity of a great deal’s worth of facts.”
today uniting that meta-data with the examine outcomes information from an STDF file is viable, however’s also cumbersome and error-susceptible.
“if your legacy system produces best STDF data and additionally sends records through SECS/GEM to the MES (Manufacturing Execution system), at some element both facts sources deserve to merge,” noted Albert Fuchigami, senior software developer at PEER neighborhood. “RITdb will can help you take all that tips and get it out of your check phone, so I don’t have to merge records or be concerned about dropping information if the connection to the MES goes down. It’s much easier to manage and to extract.”
Enabling consistency and flexibilityCreated via every examine engineer for his or her product, customized STDF GDRs add lots of work for each and every examine software. RITdb will eliminate most of this work via enabling ATE carriers to support a knowledge logging layout during which valued clientele can define the entire details. information analytic consumers can port to their facts constitution of option.
The RITdb standard defines how engineers can keep as a database entry with 6 columns that encompass sequence (time), entityID, indexID, name, value and value2. This provides a versatile and standardized structure.
Fig. 2: RITdb information format. source: RITdb task force
“With all this adaptive check and tuning, and so forth. we've a two-dimensional surface. it is definitely describing the examine and it’s per part. Now every part is slightly distinct,” mentioned Roos. “With RITdb, they will put the adaptive statistics within the information log with everything else. So it’s one consistent container. they are able to have the circumstances. they will have the adaptive suggestions. those are issues STDF just can’t support.”
With the want for bi-directional real time access, RITdb files a streaming records protocol based mostly upon the MQTT, an open-supply, message-based mostly conversation protocol. The inclusion of actual-time statistics, equivalent to streaming facts, offers alternatives for manufacturing unit administration. really, there is one more SEMI average, examine event Messaging for Semiconductors, which additionally streams data and which presently going in the course of the pollprocess.
“Teradyne is working with a number of facts transfer expertise alternate options like RITdb and TEMS. all the transfer options build on a group of verbal exchange requisites historically available for tester and verify ground management methods,” pointed out Sood. “as an example, they now have worked with consumers to provide precise-time examine records the use of TEMS. TEMS has been deployed at a few of their consumers which have started on the course of trade 4.0.”
Streaming information eases information-access mechanisms. “One decent factor is to evade having assorted daemons working on an ATE,” noted de Vries. “The conception of publishing the statistics in a circulation it is truly enabling multiple different information patrons convinced with out burdening the ATE seller with a couple of proprietary protocols.”
That records streaming is two ways, meaning that you may inject data into the check manner. “RITdb is decent not only as an output, but also as an enter to a check program for some of this adaptive handle. as a result of there in fact isn't any normal format for feeding exterior records right into a test program,” talked about Keith Arnold, senior director of solutions at PDF solutions. “That’s an area the place RITdb may in reality support since it’s bendy in structure.”
With injecting statistics right into a verify telephone, the commonplace addresses statistics integrity and protection. “The integrity problem is you ought to be sure you’re getting the correct information to the desired examine cellphone. They handle this by way of ensuring correct and depended on facts provenance in RITdb,” Ajouri stated. “We need to have confidence within the facts supply, i.e. the place it got here from and who it got here from.”
It isn't just a count of gathering the statistics from distinctive sources. With existing methods, merging check phone facts from a couple of sources for analysis functions remains elaborate. To without difficulty leverage multiple records sources requires alignment. the usage of the legacy techniques each check telephone element could document as much as the MES. With an IoT structure, a broking service in the community manages data streams, she pointed out.
Fig. three: information streaming with RITdb. source: RITdb assignment drive
“in the conclusion it is a depend of receiving the facts, processing the information, and performing upon the statistics. When data must be loaded that is coming from IoT, it must be delivered,” talked about van de Geijn. “Getting facts in a consolidated method the use of RITdb that comprises each test consequences and facts from IoT, here is extra of an evolution, no longer revolution.”
evaluation probabilities and effectivity improvementsIn combining examine technique facts and examine results records, RITdb opens up new analysis possibilities, as well as making current methods more efficient.
“users will invent new and artistic things to do with this streaming facts,” noted Harrison, noting this will go beyond the obvious adaptive verify. “individuals desire yield alarms, they need calibration repute, they want configuration monitoring. They need to recognize if a board comes out of a tester, and a distinct board goes in. All of these issues are enabled by means of this information concerning the look at various manner.”
Ajouri concurs. “smart manufacturing potential I’m taking that records along with different assistance in the factory and making self sustaining choices that both go again or forward into the procedure,” she mentioned. “i will increase my planning and yield. i can use it to do prescriptive upkeep, which means i will be able to determine when whatever thing should still be maintained before it fails and outcomes in a yield loss.”
examine meta-statistics has many sources. here is evident with probe cards and load boards for the hardware interface between the tester and the machine below check. The contactor degrades over time and desires maintenance. The amount of facts in this case is starting to be significantly, but today that information isn't linked to the test technique.
“The number of interconnects that should be tested is getting an awful lot greater,” talked about Alan Liao, director of product advertising at FormFactor. “With an SoC, they used to have round 10K pin count number each. Now they’re coming in at 30K pin count. And we’ve been trying out some chips which have assorted ICs built-in together that have reached 60K pin count for only one die. So the probe force required, versus what that you may help on the prober, is getting very difficult.”
The difficulty is that the probe requires enough power to make contact, but given the fragility of all of these points developed at superior nodes, a slight error will trigger widespread damage.
“If the force isn't sufficient, you might also not get a reliable contact,” Liao defined. “If it’s too high, then the entire bumps are going to cave in. We’re advanced MEMS processing in their fab to product probes for these facets. It’s challenging, but from a probe card standpoint we’re k for now. despite the fact, if they retain moving into this direction, then likely new materials and new processes might be vital.”
These kinds of considerations are cropping up across the test trade, and all of it produces more information. “looking at the interface between us and the seller to get board return records that they can correlate with what’s occurring their flooring,” observed Ajouri. “To birth this manner we’re integrating RITdb into their board store actions. at last, they can combine the board shop exercise with information we’re collecting on the floor. Then they are able to identify unhealthy boards earlier than they affect yield or determine a problem board that keeps stepping into and out of the store.”
Streaming examine consequences allows for detecting issues or data traits and appearing upon them. “a customary check run for us is five or six hours. during that time stuff happens like the socket fails or the yield has become sporadic. these days they don’t have any means of understanding unless the check run is finished,” referred to Roos. “With RITdb streaming data, their customers can watch the data and have a rule to notice these adverse routine and prevent the verify run to permit corrective movements.”
Time is of the essence right here. “true-time information can be used to operate evaluation true-time on the tester. think about operating methods like DPAT for closing check on the tester. RITdb has a constitution that may without delay be accessed and makes it handy to at once locate statistics,” noted van de Geijn.
Synopsys’ de Vries referred to that meta-data related to look at various time is very an awful lot mandatory for bettering universal machine efficiency (OEE). Engineers interact in check time discount to enhance OEE without cutting back satisfactory. RITdb offers improved perception into examine time than STDF.
Making the transition to RITdbMost ATE providers have been actively participating throughout the RITdb’s construction, and a few have already got in-built RITdb aid. For information analytic platforms there exists no huge impediment for them to incorporate it.
but relocating from STDF to RITdb will now not take place automatically. So what's going to pressure this circulate?
“You’re going to peer that the adoption for RITdb is going to be tons greater with individuals which are constructing advanced instruments that require complicated classes and complex information collection,” referred to Arnold.
here is principally vital in areas similar to communications chips. “5G products will power early adoption of this standard since the constituents are vastly greater complicated,” noted Roos. “to meet best/reliability goals, there’s lot extra data. So the question for verify engineers is, ‘Do I do some thing myself or do I comply with this average?’ We’re at a very good time with wrapping up the standard for individuals that make that choice.”
Complexity of the equipment is not the simplest driver for migrating from STDF and SECS/GEM to RITdb. The inability to take skills of accurate capabilities on the verify floor will encourage manufacturing unit managers.
“requirements deliver new technologies and new advantages. Factories will see value of having all that facts within the equal containers so nobody must worry about merging in statistics from different sources and it's at all times accessible,” pointed out PEER neighborhood’s Fuchigami.
“It’s just the character of the check cells these days,” referred to Ajouri. “Some are legacy. but the complexity of more accurate check cells is not the equal model because it was 10 years. I’m seeing it now as we’re implementing a brand new verify mobile that they’re attempting to put into effect into an existing infrastructure. I see this can be truly sub-most advantageous, because you’re desperate to fit into what you have already got and it’s no longer going to be the advantage you think it’s going to be. if you need to get all the way down to the nitty gritty, you should have a special equipment.”
“The want for buying and acting on real-time examine records will drive the shift to RITdb. this may occur in two degrees. the first stage may be comparable to nowadays with STDF, shoppers will Boost RITdb records importers,” said Sood. “The 2d stage, so they can take longer, is the place the MES infrastructure is developed for native RITdb. The want for customers to superior control the utilization of their fleet will accelerate the transition from stage one stage two.”
ConclusionRITdb will be going throughout the SEMI pollprocess on the conclusion of this year. energetic ballots are publicly attainable on the SEMI web page. handiest SEMI standards participants can also vote, however membership is free. For probably the most current tips assess the LinkedIn group.
RITdb possesses the hallmarks of an outstanding commonplace. All stakeholders within the check manner can advantage. it may possibly guide present methods, immediately allow improvements, and allow new tactics. at last, it has an open framework that permits constant equipment and meta test statistics shared in a secure method.
“The vital a part of working through a typical is that it beneficial properties from the participation. over the years, there were inputs from the members that caused principal alterations in course,” stated Roos. “To tackle situations the place there’s very advanced trying out being carried out, they had to be certain that they might tackle the complexity of what they did.”
RITdb’s records container in SQlite will facilitate look at various engineering to assist subtle check facts evaluation and linked moves. RITdb’s streaming spec allows for examine factories to move to sensible manufacturing solutions.
“RITdB is artful and elegant,” mentioned ATE employer Dokken. “statistics patrons don’t care the place it got here from but can understand a way to tackle all the data. it may come from the same supply or from diverse sources. information will also be saved into buildings that which are better described and in a database table which is indexable. You know that somebody can examine it 5 years now, these are completely improvements.”
Others agree. “We’ve been focused for so many years on, let’s get the statistics in regards to the gadget in STDF or some other format. Now the facts in regards to the verify manner is fitting as important and all of us deserve to locate the right element to do with it,” noted Cohu’s Harrison. “For trade four.0 to return alongside, they need data in a extra well timed style and it has to be a richer set. RITdb can do all that.”
within the end, a typical represents a set of equipment for engineers to remedy problems with effectivity, economic climate and efficacy. RITdb provides a brand new toolbox for examine.
information turns into Key For subsequent-Gen Chips
Sensing automobile IC disasters
Grading Chips For Longer Lifetimes
Making 3D constructions And programs more legitimate
the use of stronger facts To Shorten verify Time
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