A　limited-DTW　method　which　makes　dynamic　match　by　tracking　the　points　in　the　trajectory　between　batches　was　proposed　to　solve　the　inherent　unequal　length　problem　in　the　batch　process.　Meanwhile　the　serious　shortcomings　of　traditional　method　in　data　wasting　and　the　distorted　auto-and-cross-correlation　of　original　process　variables　were　overcome.　The　global　path　constraint　and　the　distortion　threshold　constraint　were　introduced　to　improve　the　dynamic　time　warping.　The　serious　lag　was　overcome　by　the　limited-DTW　method　and　it　was　applied　in　practical　production　by　reducing　the　calculation.　Multiway　principal　component　analysis　was　used　to　model　for　the　processed　data　by　limited-DTW　in　the　passage.　The　method　was　applied　to　fed-batch　penicillin　fermentation　process.　Experiments　show　that　this　method　can　effectively　warp　unequal　batch　to　equal　length　and　reduce　the　leaking　alarms　and　nuisance　alarms,　which　also　proves　that　the　proposed　method　has　more　reliable　monitoring　performance　than　that　of　the　traditional　method.　©　2018,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.