JPS59146741A - Abnormality diagnostic device upon cutting - Google Patents

Abnormality diagnostic device upon cutting

Info

Publication number
JPS59146741A
JPS59146741A JP2184583A JP2184583A JPS59146741A JP S59146741 A JPS59146741 A JP S59146741A JP 2184583 A JP2184583 A JP 2184583A JP 2184583 A JP2184583 A JP 2184583A JP S59146741 A JPS59146741 A JP S59146741A
Authority
JP
Japan
Prior art keywords
time
cutting
load
abnormality
detector
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2184583A
Other languages
Japanese (ja)
Inventor
Hiroshige Okitomo
沖友 啓成
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Heavy Industries Ltd
Original Assignee
Mitsubishi Heavy Industries Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Heavy Industries Ltd filed Critical Mitsubishi Heavy Industries Ltd
Priority to JP2184583A priority Critical patent/JPS59146741A/en
Publication of JPS59146741A publication Critical patent/JPS59146741A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/406Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
    • G05B19/4065Monitoring tool breakage, life or condition

Abstract

PURPOSE:To maintain the accuracy of abnormality diagnosis by a method wherein a comparator, which does not treat a difference due to the difference of comparing time as the abnormality of cutting if there is a model data same as a load datum upon actual cutting in the memorized model data within a predetermined allowable time range, is provided in the device. CONSTITUTION:In case of the actual cutting of a work to be monitored, the magnitude of a cutting load is detected by a detector 2 and is converted into digital by a converter 3 while this signal is inputted into a coincidence detector 22 as the cutting load datum 6. On the other hand, a retrieve time 24, corresponding to a time 17 obtained by a time generator 20, is generated by a retrieve time generator 21. The corresponding model datum 7 among the retrieve times 24 is taken out of a memory 4 and the coincidence between the datum 6 is detected by the coincidence detector 22. In case the signal from the detector 22 is non-coincident, a new retrieve time 24, advanced or delayed by a given time based on the time 17, is generated by the generator 21. The renewed retrieve time 24 is monitored by an allowable time threshold detector 23 and a load abnormality signal 13 is generated only when it has exceeded a predetermined renewal time, thus, the abnormality of cutting is diagnosed. Accordingly, the accuracy of the diagnosis may be secured within the time.

Description

【発明の詳細な説明】 不発明は七チルワークに基ついて実切削を行なうルノ合
の切r」1」時の異常感1ai@置に胸する。
[Detailed Description of the Invention] The invention is filled with an abnormal feeling when performing actual cutting based on seven chill works.

機械加工において、切ハU系の異常を診断する装置#′
i第1図に示す回路を有する。第1図において、切t]
IJモデルワークについて、工作機械の主軸モータ負荷
、送すモータ負荷、振動等の切削負荷1を切削負荷検出
器2で検出して、デジタル変換器3でデジタル信号に変
換し、負荷の大ささき時刻発生器20によるその時の時
刻とを記憶器4に記憶する。その後、実切n1」の監視
対象ワークについて、デジタル変換器3から得られた切
削負荷の太さ芒を示すデシタル(Ei号と、その時の時
刻に対応する記憶器4に記憶されていた切削モデルワー
クの負荷の太ささと?比較器5で比較し、両者の間にあ
らかじめ冗めたある一定値以上差異があると切削異常と
診断して異常出力が出δれていた。
Equipment for diagnosing abnormalities in the cutting tool U system in machining #'
i It has the circuit shown in FIG. In Figure 1, cut t]
Regarding the IJ model work, the cutting load 1 such as the machine tool's spindle motor load, feeding motor load, vibration, etc. is detected by the cutting load detector 2, and the digital converter 3 converts it into a digital signal and calculates the magnitude and time of the load. The current time generated by the generator 20 is stored in the memory 4. After that, regarding the monitored workpiece of "actual cutting n1", the digital converter 3 obtains a digital signal (Ei) indicating the thickness of the cutting load, and the cutting model stored in the memory 4 corresponding to the time at that time. The thickness of the load on the workpiece was compared with the comparator 5, and if there was a difference between the two by a predetermined value or more, a cutting abnormality was diagnosed and an abnormal output δ was output.

ところが、モデルデータについての負荷データとFi七
の時間稀において一致させることは難しく、芙切St+
ワークの若干の寸法変化或いは速度のばらつきなどによ
り時間軸に対して両デ−タ間で一′Vイ管イ多動がある
もので千ン、乙。(第21杓谷照)このため、切131
」モデルワークの切1j1」負荷データの記1はテ開始
する時間と監視対象ワークの切14υ・益祝開嬬時間が
異なると第2図において、記憶器4に記j報した切1〕
uモデルワークの負荷チータフと監祝対未ワークの切削
負荷データ6が1川−ワークでおっても異なった負荷デ
ータとみなさi’L時間8及び11.5間90時には異
常と、具1診断してし寸う。
However, it is difficult to match the load data regarding the model data and the time of Fi 7, and Fukiri St+
Due to slight changes in the dimensions of the workpiece or variations in speed, there may be some hyperactivity between the two data sets relative to the time axis. (21st Shudani Teru) For this reason, Kiri 131
``Model work cut 1j1'' The load data record 1 indicates that the start time and the monitored workpiece cut 14υ/benefit opening time are different, and the cut 1 recorded in the memory 4 in Fig.
u Model work load Cheetah and supervision vs. unwork cutting load data 6 are considered to be different load data even if they are 1 river - work i'L time 8 and 11.5 When 90, it is abnormal and tool 1 diagnosis I'm about to do it.

このたム・ハ従米の装置では時間8及びff、71ii
l 9の時刻を記憶器4に記憶した切削モデルワークの
負荷データ7又は監視対象ワークの切削負荷−7−夕6
が時間的に急1変に変化することによりこの変化を検出
し、その変化時刻の間比較器5で検出した両データの差
異の大きさが通常の時より大さくても異常としないこと
によV誤診断を防いでいる。具体的な回路としては、第
3図において、ディジタル変換器3より得られた切1つ
1」負荷データ6と時刻発生器20より得られるその時
の時刻に対応するモデルワークの記憶器4からの負荷フ
ーータ′7との差?負荷差検出器11により負荷差信@
 14さI7て取り出し7、−力、時刻発生器20から
の時刻とディジタルR換器3 j?よぴ占己憶器4〃為
らのβ1データとを単位時間負荷変化不検出器10番′
こよって負荷データのI+5間変化率民対応し7て太さ
くなる異常T−11−11定基準全15奮上記負荷差信
号14と異常′l′Ij定基準li/!15とを大小向
別益12で比較し、この54変化時では比紋軒8B+L
四r広く設けて誤診断と11h止している。従つt、従
来の装置では時刻8人びりの状態では異常診断の梢1並
が一11゛りなる欠点がある。
In this device, time 8 and ff, 71ii
l Load data 7 of the cutting model workpiece whose time of 9 is stored in the memory 4 or cutting load of the monitored workpiece -7-Evening 6
This change is detected by a sudden change in time, and even if the difference between the two data detected by the comparator 5 during that time of change is larger than normal, it is not considered abnormal. This prevents misdiagnosis. As a concrete circuit, as shown in FIG. Difference with load Hooter '7? Load difference signal @ by load difference detector 11
14 I7 and take out 7 - power, time from time generator 20 and digital R converter 3 j? The unit time load change non-detector No. 10'
Therefore, the change rate between I+5 of the load data becomes 7 and the abnormality T-11-11 constant standard total 15 times and the load difference signal 14 and the abnormality 'l'Ij constant standard li/! Comparing 15 with Daikomukaibetsuki 12, at the time of this 54 change, Himonken 8B + L
The 11th hour was stopped due to a misdiagnosis due to the 4th wide setting. Therefore, the conventional apparatus has the disadvantage that the abnormality diagnosis is 1 to 11 times when no one is present at any given time.

そこで、本発明は子連の欠点VC艦み、負荷データが急
峻に変化する時刻6′コて異常診断精度〃5IJ−〈l
らないようにした切ト3υ時の異宮診断装血の提供を目
的とする。
Therefore, the present invention aims to improve the abnormality diagnosis accuracy at the time 6' when the load data changes sharply by looking at the faulty VC ship of the child series.
The purpose is to provide a blood device for diagnosing different shrines at the time of incision 3υ.

かかる[J的を達成するため+発明は、モデルワーク切
削時の負荷データである+デルラータ?記はしてお−さ
、実切81」時の負りJデータ2時々刻々M時々上テル
テータと比較することによって切削異常を検知する装置
において、所定時刻からあらかじめ定めた時間許容値の
幅の範囲内で、すでに記憶している。モデルデータの中
から、果切削時の負荷データと同一のものがあるか否か
?検索し、同一のものがおれば比較時刻の違いによる前
記七デルデータと負荷データとの差は切削異常としない
比較器?備えたことを特徴とする。
In order to achieve this goal, the invention is load data when cutting a model work. As a note, in a device that detects cutting abnormalities by comparing the actual cut 81'' with the M upper tertator from time to time, Within range, already memorized. Is there any model data that is the same as the load data during fruit cutting? Is there a comparator that searches and if the same data is found, the difference between the seven delta data and the load data due to the difference in comparison time is not treated as a cutting abnormality? It is characterized by being equipped.

ここで、ヰλ4図?参照して本発明の詳細な説明する。Here, ヰλ4 diagram? The present invention will be described in detail with reference to the following.

なお、414図VCおいて第1図および第3図と同一部
分は同符号を付す。第4図において、モデルワーク切削
時の切削負荷lおよび実切削の監視対象ワーク切削時の
切削負荷1?C検出する検出器2からの切削負荷信号は
ディジタル変換器3によりテイジタル信号に変換される
。このテイジタル信号に変換された!1ilJ目1」負
荷データは記憶器4に人力され時刻発生器20からの時
刻とともに記憶きれる。記憶器4ズノ・らのモデルワー
クによるモデルデータ7と実切削の負荷データ6とは一
致検出器22に入力されてデータとおしの一致を検出す
る。Cの一致検出器22にてデータどおしが不一致とな
イ・と検索時間発生器2 ]、 ?駆1ノして、I4、
刻発生器20からのその時刻17を基準として一定の検
索時1■124f!:設定し7てml憶器の検索を71
なう。検索時間がめらρ)しめ定めた許容時間より越境
すなわち検索時間内に一致(71い場合にIi訂谷時間
越境点検出器23から負荷異常信号が出8t]る。
In addition, in FIG. 414 VC, the same parts as in FIGS. 1 and 3 are given the same reference numerals. In FIG. 4, the cutting load 1 when cutting the model workpiece and the cutting load 1 when cutting the monitored workpiece during actual cutting are shown. The cutting load signal from the detector 2 for C detection is converted into a digital signal by the digital converter 3. Converted into this digital signal! 1ilJth 1'' load data is manually input to the storage device 4 and stored together with the time from the time generator 20. The model data 7 based on the model work of Zuno et al. and the actual cutting load data 6 are input to a coincidence detector 22 to detect coincidence between the data and the cutting. If the data do not match in the match detector 22 of C, the search time generator 2 ], ? Drive 1, then I4,
When searching at a constant time using the time 17 from the clock generator 20 as a reference, 1■124f! : Set 7 and search for ml storage 71
Now. If the search time exceeds the predetermined allowable time (71), that is, within the search time, a load abnormality signal is output from the boundary crossing point detector 23 (8t).

この一致検出器22.検索時間発生器21 、 tri
容時開時間越境点検出器23り比較器5か構成される。
This coincidence detector 22. Search time generator 21, tri
A time/open time crossing point detector 23 and a comparator 5 are constructed.

つき゛にモデルワークの切削と監視対象ワークの実切削
と?区別(7てい寸少しrfl L、 < Ij’l明
する。
Cutting of the model workpiece and actual cutting of the monitored workpiece at the same time? Distinction (7 times a little rfl L, <Ij'l bright.

筺すモデルワークの切81」負荷1の太ささ?検出器2
で検出し、ついでディジタル変をシ器3でテイジタル化
し、CのテイジクルイM号を時刻発生器20によるイ゛
の時L:D時刻と共に記憶器4に記憶する0この1己憶
処理?モデルワーク切削冗f1で繰り返す。 L、h−
かって、七デルワークの切81」では負荷データである
モデルデータと時刻と?専ら記憶゛jるCと眞なる。
Cutting model work 81" Thickness of load 1? Detector 2
Then, the digital change is digitized by the digital converter 3, and the digital signal M of C is stored in the memory device 4 along with the L:D time from the time generator 20. Repeat with model work cutting redundancy f1. L,h-
What about model data, which is load data, and time? It's true that I only remember C.

つき゛に監視対、求ワークの実切削の場合、実切F’l
11ワークの切111」負荷の太さ式を検出器2で検出
しついでディジタル変換器3でデイゾタル化し、このデ
ィジタル信号を切削負荷デークロとして・一致検出器2
2に人力する。一方、検索時間発生器21により時刻発
生器20で得られるその時の時刻17に対応する検索時
間24奮発生Jる。この検索時間24中対応するモデル
チータフを記憶器4炉ら取り出す。この取出されたモデ
ルデータ7と前述した切81」負荷データ6との一致を
一致検111器22により検出する。一致検出器22か
らの信号が不一致の場合、検索時間発生器2】にシ・い
て時刻17を基準としである一定時間前後させた新たな
検索時間24を発生する。このモデルワークの記憶器4
からの読み出し〃)ら一致不一致の検出1で金繰り返し
、一致検出器22にふへいて切1411負荷データ6と
一1Xデルチータフとが一致する1で検索時間24?更
新する。更刹検索時間24を許容時間越境点検出器23
によ、0監親し予め定めた更新時間より越境したとさの
み負荷異1p; G4 M 13を発生し、切削異常?
診〃丁する。
In the case of actual cutting of the desired workpiece, the actual cutting F'l
11 Workpiece Cutting 111'' The load thickness formula is detected by the detector 2, and then converted into dizotal by the digital converter 3, and this digital signal is used as the cutting load dichronized signal by the coincidence detector 2.
2. Manpower. On the other hand, the search time generator 21 generates a search time 24 corresponding to the current time 17 obtained by the time generator 20. During this search time 24, the corresponding model Cheetah is taken out from the storage device 4. A coincidence detector 111 22 detects whether the extracted model data 7 and the load data 6 mentioned above match. If the signals from the coincidence detector 22 do not match, a search time generator 2 is used to generate a new search time 24 that is shifted forward or backward by a certain period of time with respect to time 17. Memory device 4 of this model work
Reading from 〃) Detection of match and mismatch 1 is repeated, and the search time is 24? Update. Changing the search time 24 to allowable time crossing point detector 23
However, when the 0 supervisor exceeds the predetermined update time, a load error 1p; G4 M 13 occurs and a cutting error occurs.
Examine.

Cつし−(監視対象ワークについてデジタル変換器から
得らルた切111」負荷の太さ埒と、−亡のit;7亥
11に対応する記憶器に記憶さ)している切削子デルワ
ークの負荷の大さびが、あら〃)にめ定めた異富刊定基
準+1ECkgえた相合、そのま1!J4Nと判定すう
のではなく、その時刻刀1らあらかじめ定め斤時間訂8
11Mの暢の範[44(内で6[:偉容tこn1シ憶(
−7ている切削モデルワークの負荷の中から監祝対家ワ
ークと回−負荷があるかどう力・を調べ、もし、同一負
荷があることが検出さ〕t7Lば、切削モデルワークの
切削負荷の=t t= ?f開タグ11る時間と監視z
1未ワークの切削監視開始時間がJ)′(に異なったた
めに異常監視基準(F[’4 k越えたためと判定して
、異常とは診断しない。このボーi来第2図の時刻8及
び9においても異當刊足先準++i′t *変えて異常
診断のa′度をL1’ くすることなく、〃゛つ切削モ
デルワークの切削負荷の記偉開姑時間と盃祝%J壕ソー
クの切削開始時間が異なる事によるIA診断を防ぐ事が
できる〇 」メ−に潴明したように本発明によれば、切削モデルワ
ークの切削負荷の記憶を開始する時間と監視対象ワーク
の切削監視開始時間が異なっても誤診断?防ぐことがで
き、監視対象ワークの切r4υ異常診断の精度を監視の
全域にわた゛つで、従来の方法のように目゛くすること
なく、いつも一定の1直で行なうことがでさ、ロード七
−夕などの製品に適用し1非常に有用である。
The cutter del workpiece is cut by C. The load rust was 1 EC kg higher than the fixed standard set by Itomi Publishing (oh)), and it was 1! Rather than judging it as J4N, the time sword 1 etc. are determined in advance and the time is 8.
11M's range [44 (within 6 [: greatness)
Check the force and force to see if there is a rotational load with the supervising home work among the loads of the cutting model work in -7L, and if it is detected that there is the same load, then the cutting load of the cutting model work = t t = ? f open tag 11 time and monitoring z
1 Since the cutting monitoring start time of the unworked workpiece differs from J)', it is determined that the abnormality monitoring standard (F['4k has been exceeded) and is not diagnosed as an abnormality. 9, it is also different from the first part + +i't. According to the present invention, it is possible to prevent IA diagnosis due to different cutting start times of soaks.As described in May, according to the present invention, the time to start storing the cutting load of the cutting model workpiece and the cutting of the monitored workpiece can be prevented. Misdiagnosis can be prevented even if the monitoring start time is different, and the accuracy of cut r4υ abnormality diagnosis of the monitored workpiece can be maintained constant over the entire monitoring area without becoming dizzy like with conventional methods. It can be done in one shift and is very useful for products such as Road Tanabata.

【図面の簡単な説明】[Brief explanation of drawings]

第1図ないし第3図は従来の異常診断装置の一例で、第
11米は概略ブロック図、第2図は負荷曲線図、第3図
に一1第1図の一部分を詳しく示すブ[コック図、第4
図は本発明による切削時の異常診断装置の一実施例を示
すブロック図である。 図  面  中、 21ij検索時間発生器、 22(・ニ一致検ltJ器、 23は許容時間越境点検出器である。 %訂出顔人 亘友亘工業株式会社 複   代   理  人 升理士 光 石 七 m(仙1名ン
Figures 1 to 3 show an example of a conventional abnormality diagnosis device. Figure 11 is a schematic block diagram, Figure 2 is a load curve diagram, and Figure 3 is a block diagram showing a portion of Figure 1 in detail. Figure, 4th
The figure is a block diagram showing an embodiment of an abnormality diagnosis device during cutting according to the present invention. In the figure, 21 is a search time generator, 22 is a matching detector, and 23 is a permissible time boundary crossing point detector. m (1 Sen)

Claims (1)

【特許請求の範囲】[Claims] →;デルワーク切削時の負荷データであるモデルデータ
を記tαしておき、実切削時の負荷データを時々刻々前
記モデルデータと比較することりこよって切1’llJ
異當を検知する装置にあ・いて、所犀時刻からあらかじ
め定めた時間許容値の暢の範囲内で、すでに記憶してい
るモデルデータの中から実切削時の負荷データと同一の
ものがあるか否かr検索し、向−のものがあれば比較時
刻の違いによる前記モデルデータと負荷データとの7’
;’:は切削異常と11.ない比較器2備えたこ“とを
特徴とする切t’iIJ時の異常診断装置。
→; Write down the model data that is the load data when cutting the del work, and compare the load data during actual cutting with the model data from time to time.
The abnormality detection device detects that there is load data that is the same as the actual cutting load data from among the model data already stored within a predetermined time tolerance from the actual cutting time. Search if there is a difference between the model data and the load data due to the difference in comparison time.
;': indicates cutting abnormality and 11. An abnormality diagnosing device at the time of t'iIJ, characterized in that it is equipped with two comparators.
JP2184583A 1983-02-12 1983-02-12 Abnormality diagnostic device upon cutting Pending JPS59146741A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2184583A JPS59146741A (en) 1983-02-12 1983-02-12 Abnormality diagnostic device upon cutting

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2184583A JPS59146741A (en) 1983-02-12 1983-02-12 Abnormality diagnostic device upon cutting

Publications (1)

Publication Number Publication Date
JPS59146741A true JPS59146741A (en) 1984-08-22

Family

ID=12066425

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2184583A Pending JPS59146741A (en) 1983-02-12 1983-02-12 Abnormality diagnostic device upon cutting

Country Status (1)

Country Link
JP (1) JPS59146741A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1995004632A1 (en) * 1993-08-06 1995-02-16 Kunio Tanaka Working load monitoring system
US5822212A (en) * 1993-08-06 1998-10-13 Fanuc Ltd Machining load monitoring system
WO2012169300A1 (en) * 2011-06-09 2012-12-13 株式会社 日立製作所 Working abnormality detecting device and working abnormality detecting method for machine tool

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1995004632A1 (en) * 1993-08-06 1995-02-16 Kunio Tanaka Working load monitoring system
US5822212A (en) * 1993-08-06 1998-10-13 Fanuc Ltd Machining load monitoring system
WO2012169300A1 (en) * 2011-06-09 2012-12-13 株式会社 日立製作所 Working abnormality detecting device and working abnormality detecting method for machine tool

Similar Documents

Publication Publication Date Title
US6308138B1 (en) Diagnostic rule base tool condition monitoring system
CN109901537B (en) Mechanical equipment running state monitoring method and system for edge computing side
US5587931A (en) Tool condition monitoring system
US6260427B1 (en) Diagnostic rule tool condition monitoring system
JPS58500605A (en) Method and device for monitoring tool status of a machine tool that performs periodic machining
US5243533A (en) Tool abnormality detecting device
CN110134679B (en) Failure portion determination device, failure portion determination method, and computer-readable medium
CN114800040B (en) Cutter wear monitoring method and system related to process-state data
CN106610626A (en) Diagnostic device and diagnostic method
JPS59146741A (en) Abnormality diagnostic device upon cutting
Colasante et al. A fuzzy knowledge-based system for diagnosing unpredictable failures in CNC machine tools
JPH10267749A (en) Abnormality diagnosis method in cutting work
CN115452420A (en) Locking fault detection method, device, equipment and storage medium
JPH0731007Y2 (en) Power transmission monitoring device
US11754468B2 (en) Vibration analysis apparatus and vibration analysis method
JPS6059108B2 (en) Machine tool abnormality monitoring device
JP2575323B2 (en) Cutting load monitoring method by data extraction averaging method
JPS6121787B2 (en)
CN110412940A (en) Machine performance monitoring arrangement
JPS59175941A (en) Method and device for detecting abnormality of multiple cutting edge tool
CN112693310B (en) Speed limiting method and device for engineering machinery
JPS6044254A (en) Diagnostic device of cutting abnormality
JPS58120451A (en) Numerically controlled machining system
JPH04106145U (en) Machine tool failure prevention device
JPH07195257A (en) Malfunction detecting method of cutting tool